背景宽高随文本变化_今日论文|零资源口语建模&多尺度合并蒸馏语义分割持续学习&迷彩动物识别&数据到文本语义准确新指标&自动深度GNN设计&MORE...计算机视觉自然语言处理数据集竞赛与挑战方法论神经网络原理综述平台与工具语音技术知识图谱强化学习医疗与健康应用其他技术

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我是靠谱客的博主贪玩鞋子，最近开发中收集的这篇文章主要介绍背景宽高随文本变化_今日论文|零资源口语建模&多尺度合并蒸馏语义分割持续学习&迷彩动物识别&数据到文本语义准确新指标&自动深度GNN设计&MORE...计算机视觉自然语言处理数据集竞赛与挑战方法论神经网络原理综述平台与工具语音技术知识图谱强化学习医疗与健康应用其他技术，觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

11月24日人工智能领域新增论文 456篇，AI日读精选其中 88篇推荐给大家。这些论文主要来自AAAI，AAMAS，ACCV，CIKM，Artificial Intelligence，CVPR，ECCV，EMNLP，ICASSP，ICLR，ICML，ICONIP，ICPR，ICRA，TKDE，INTERSPEECH，Information Systems，Machine Learning，NeurIPS，PRICAI，VISAPP，WACV等会议与期刊。其中包含计算机视觉论文22篇[1-22]，自然语言处理论文4篇[23-26]，方法论论文19篇[32-50]，神经网络原理论文6篇[51-56]，语音技术论文7篇[65-71]，知识图谱论文4篇[72-75]，强化学习论文4篇[76-79]，医疗与健康论文2篇[80-81]，应用论文6篇[82-87]，点击文末

计算机视觉

Computer Vision

[1]

LRTA: A Transparent Neural-Symbolic Reasoning Framework with Modular Supervision for Visual Question Answering

Weixin Liang, Feiyang Niu, Aishwarya Reganti, Govind Thattai, Gokhan Tur

摘要：

原文：http://arxiv.org/pdf/2011.10731v1

[2]

Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation

Hala Lamdouar, Charig Yang, Weidi Xie, Andrew Zisserman

摘要：

原文：http://arxiv.org/pdf/2011.11630v1

[3]

PLOP: Learning without Forgetting for Continual Semantic Segmentation

Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord

摘要：

原文：http://arxiv.org/pdf/2011.11390v1

资源：github.com/NVIDIA/apex, github.com/fcdl94/MiB

[4]

RNNP: A Robust Few-Shot Learning Approach

Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri

摘要：

原文：http://arxiv.org/pdf/2011.11067v1

[5]

End-to-End Differentiable 6DoF Object Pose Estimation with Local and Global Constraints

Anshul Gupta, Joydeep Medhi, Aratrik Chattopadhyay, Vikram Gupta

摘要：

原文：http://arxiv.org/pdf/2011.11078v1

[6]

Legacy Photo Editing with Learned Noise Prior

Zhao Yuzhi, Po Lai-Man, Wang Xuehui, Liu Kangcheng, Zhang Yujia, Yu Wing-Yin, Xian Pengfei, Xiong Jingjing

摘要：

原文：http://arxiv.org/pdf/2011.11309v1

[7]

CamVox: A Low-cost and Accurate Lidar-assisted Visual SLAM System

Yuewen Zhu, Chunran Zheng, Chongjian Yuan, Xu Huang, Xiaoping Hong

摘要：

原文：http://arxiv.org/pdf/2011.11357v1

资源：github.com/Livox-SDK/livox_horizon_loam, github.com/ISEE-Technology/CamVox

[8]

The Selectivity and Competition of the Mind's Eye in Visual Perception

Edward Kim, Maryam Daniali, Jocelyn Rego, Garrett T. Kenyon

摘要：

原文：http://arxiv.org/pdf/2011.11167v1

[9]

Imbalance Robust Softmax for Deep Embeeding Learning

Hao Zhu, Yang Yuan, Guosheng Hu, Xiang Wu, Neil Robertson

摘要：

原文：http://arxiv.org/pdf/2011.11155v1

[10]

DmifNet:3D Shape Reconstruction Based on Dynamic Multi-Branch Information Fusion

Lei Li, Suping Wu

摘要：

原文：http://arxiv.org/pdf/2011.10776v1

资源：github.com/leilimaster/DmifNet

[11]

Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases

Kunming Li, Stuart Eiffert, Mao Shan, Francisco Gomez-Donoso, Stewart Worrall, Eduardo Nebot

摘要：

原文：http://arxiv.org/pdf/2011.11190v1

[12]

On Connectivity-Aware Distributed Mobility Models for Area Coverage in Drone Networks

Mustafa Tosun, Umut Can Cabuk, Vahid Khalilpour Akram, Orhan Dagdeviren

摘要：

原文：http://arxiv.org/pdf/2011.11126v1

[13]

Visual Recognition of Great Ape Behaviours in the Wild

Faizaan Sakib, Tilo Burghardt

摘要：

原文：http://arxiv.org/pdf/2011.10759v1

[14]

Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images

Rewon Child

摘要：

原文：http://arxiv.org/pdf/2011.10650v1

资源：github.com/openai/vdvae

[15]

SCGAN: Saliency Map-guided Colorization with Generative Adversarial Network

Yuzhi Zhao, Lai-Man Po, Kwok-Wai Cheung, Wing-Yin Yu, Yasar Abbas Ur Rehman

摘要：

原文：http://arxiv.org/pdf/2011.11377v1

[16]

Height Prediction and Refinement from Aerial Images with Semantic and Geometric Guidance

Elhousni Mahdi, Huang Xinming, Zhang Ziming

摘要：

原文：http://arxiv.org/pdf/2011.10697v1

资源：github.com/melhousni/DSMNet

[17]

HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features

Cheng Sun, Min Sun, Hwann-Tzong Chen

摘要：

原文：http://arxiv.org/pdf/2011.11498v1

[18]

Rethinking Transformer-based Set Prediction for Object Detection

Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris Kitani

摘要：

原文：http://arxiv.org/pdf/2011.10881v1

[19]

Cryo-ZSSR: multiple-image super-resolution based on deep internal learning

Qinwen Huang, Ye Zhou, Xiaochen Du, Reed Chen, Jianyou Wang, Cynthia Rudin, Alberto Bartesaghi

摘要：

原文：http://arxiv.org/pdf/2011.11020v1

[20]

Interpreting Super-Resolution Networks with Local Attribution Maps

Jinjin Gu, Chao Dong

摘要：

原文：http://arxiv.org/pdf/2011.11036v1

[21]

Efficient embedding network for 3D brain tumor segmentation

Hicham Messaoudi, Ahror Belaid, Mohamed Lamine Allaoui, Ahcene Zetout, Mohand Said Allili, Souhil Tliba, Douraied Ben Salem, Pierre-Henri Conze

摘要：

原文：http://arxiv.org/pdf/2011.11052v1

[22]

Multiresolution Knowledge Distillation for Anomaly Detection

Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh, Mohammad Hossein Rohban, Hamid R. Rabiee

摘要：

原文：http://arxiv.org/pdf/2011.11108v1

自然语言处理

Natural Language Processing

[23]

Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference

Ondřej Dušek, Zdeněk Kasner

摘要：

原文：http://arxiv.org/pdf/2011.10819v1

资源：github.com/ufal/nlgi_eval, github.com/tuetschek/e2e-eval

[24]

The Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modeling

Tu Anh Nguyen, Maureen de Seyssel, Patricia Rozé, Morgane Rivière, Evgeny Kharitonov, Alexei Baevski, Ewan Dunbar, Emmanuel Dupoux

摘要：

原文：http://arxiv.org/pdf/2011.11588v1

资源：github.com/bootphon/abkhazia, github.com/facebookresearch/CPC_audio

[25]

What do we expect from Multiple-choice QA Systems?

Krunal Shah, Nitish Gupta, Dan Roth

摘要：

原文：http://arxiv.org/pdf/2011.10647v1

[26]

Athena: Constructing Dialogues Dynamically with Discourse Constraints

Vrindavan Harrison, Juraj Juraska, Wen Cui, Lena Reed, Kevin K. Bowden, Jiaqi Wu, Brian Schwarzmann, Abteen Ebrahimi, Rishi Rajasekaran, Nikhil Varghese, Max Wechsler-Azen, Steve Whittaker, Jeffrey Flanigan, Marilyn Walker

摘要：

原文：http://arxiv.org/pdf/2011.10683v1

资源：github.com/dbpedia/lookup

数据集

Dataset

[27]

QuerYD: A video dataset with high-quality textual and audio narrations

Andreea-Maria Oncescu, Jõao F. Henriques, Yang Liu, Andrew Zisserman, Samuel Albanie

摘要：

原文：http://arxiv.org/pdf/2011.11071v1

[28]

DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings

Muhammad Abdul-Mageed, Shady Elbassuoni, Jad Doughman, AbdelRahim Elmadany, El Moatez Billah Nagoudi, Yorgo Zoughby, Ahmad Shaher Iskander Gaba, Ahmed Helal, Mohammed El-Razzaz

摘要：

原文：http://arxiv.org/pdf/2011.10970v1

[29]

MoGaze: A Dataset of Full-Body Motions that Includes Workspace Geometry and Eye-Gaze

Philipp Kratzer, Simon Bihlmaier, Niteesh Balachandra Midlagajni, Rohit Prakash, Marc Toussaint, Jim Mainprice

摘要：

原文：http://arxiv.org/pdf/2011.11552v1

[30]

RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers

Saeid Asgari Taghanaki, Jieliang Luo, Ran Zhang, Ye Wang, Pradeep Kumar Jayaraman, Krishna Murthy Jatavallabhula

摘要：

原文：http://arxiv.org/pdf/2011.11572v1

竞赛与挑战

Competition & Challenge

[31]

ML4H Abstract Track 2020

Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland

摘要：

原文：http://arxiv.org/abs/2011.11554v1

方法论

Methodology

[32]

Self-Supervised learning with cross-modal transformers for emotion recognition

Aparna Khare, Srinivas Parthasarathy, Shiva Sundaram

摘要：

原文：http://arxiv.org/pdf/2011.10652v1

[33]

FP-NAS: Fast Probabilistic Neural Architecture Search

Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli

摘要：

原文：http://arxiv.org/pdf/2011.10949v1

[34]

Meta Variational Monte Carlo

Tianchen Zhao, James Stokes, Oliver Knitter, Brian Chen, Shravan Veerapaneni

摘要：

原文：http://arxiv.org/pdf/2011.10614v1

[35]

SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations

Hao-Zhe Feng, Kezhi Kong, Minghao Chen, Tianye Zhang, Minfeng Zhu, Wei Chen

摘要：

原文：http://arxiv.org/pdf/2011.10684v1

资源：github.com/PaperCodeSubmission/

AAAI2021-260

[36]

A Homotopy-based Algorithm for Sparse Multiple Right-hand Sides Nonnegative Least Squares

Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis

摘要：

原文：http://arxiv.org/pdf/2011.11066v1

[37]

Envy-Free Allocations Respecting Social Networks

Robert Bredereck, Andrzej Kaczmarczyk, Rolf Niedermeier

摘要：

原文：http://arxiv.org/pdf/2011.11596v1

[38]

Training Ethically Responsible AI Researchers: a Case Study

Hang Yuan, Claudia Vanea, Federica Lucivero, Nina Hallowell

摘要：

原文：http://arxiv.org/pdf/2011.11393v1

[39]

Verifying the Correctness of Analytic Query Results

Masoud Nosrati, Ying Cai

摘要：

原文：http://arxiv.org/pdf/2011.11487v1

[40]

Balance Regularized Neural Network Models for Causal Effect Estimation

Mehrdad Farajtabar, Andrew Lee, Yuanjian Feng, Vishal Gupta, Peter Dolan, Harish Chandran, Martin Szummer

摘要：

原文：http://arxiv.org/pdf/2011.11199v1

[41]

Synthesis and Pruning as a Dynamic Compression Strategy for Efficient Deep Neural Networks

Alastair Finlinson, Sotiris Moschoyiannis

摘要：

原文：http://arxiv.org/pdf/2011.11358v1

[42]

Language-guided Navigation via Cross-Modal Grounding and Alternate Adversarial Learning

Weixia Zhang, Chao Ma, Qi Wu, Xiaokang Yang

摘要：

原文：http://arxiv.org/pdf/2011.10972v1

[43]

Restricted Boltzmann Machine, recent advances and mean-field theory

Aurélien Decelle, Cyril Furtlehner

摘要：

原文：http://arxiv.org/pdf/2011.11307v1

[44]

Hierachical Delta-Attention Method for Multimodal Fusion

Kunjal Panchal

摘要：

原文：http://arxiv.org/pdf/2011.10916v1

资源：github.com/A2Zadeh/CMU-MultimodalSDK

[45]

A Population-based Hybrid Approach to Hyperparameter Optimization for Neural Networks

Marcello Serqueira, Pedro González, Eduardo Bezerra

摘要：

原文：http://arxiv.org/pdf/2011.11062v1

资源：github.com/fmfn/BayesianOptimization, github.com/CMA-ES/pycma

[46]

Large Scale Neural Architecture Search with Polyharmonic Splines

Ulrich Finkler, Michele Merler, Rameswar Panda, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Chun-Fu Chen, Minsik Cho, David Kung, Rogerio Feris, Bishwaranjan Bhattacharjee

摘要：

原文：http://arxiv.org/pdf/2011.10608v1

[47]

BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures

Tianchen Zhao, Xuefei Ning, Songyi Yang, Shuang Liang, Peng Lei, Jianfei Chen, Huazhong Yang, Yu Wang

摘要：

原文：http://arxiv.org/pdf/2011.10804v1

[48]

Run Away From your Teacher: Understanding BYOL by a Novel Self-Supervised Approach

Haizhou Shi, Dongliang Luo, Siliang Tang, Jian Wang, Yueting Zhuang

摘要：

原文：http://arxiv.org/pdf/2011.10944v1

[49]

How will AI and automation transform society and cities?

Gevorg Yeghikyan

摘要：

原文：http://arxiv.org/pdf/2011.11095v1

[50]

Federated learning with class imbalance reduction

Miao Yang, Akitanoshou Wong, Hongbin Zhu, Haifeng Wang, Hua Qian

摘要：

原文：http://arxiv.org/pdf/2011.11266v1

神经网络原理

Neural Network Theory

[51]

Dense open-set recognition with synthetic outliers generated by Real NVP

Matej Grcić, Petra Bevandić, Siniša Šegvić

摘要：

原文：http://arxiv.org/pdf/2011.11094v1

资源：github.com/matejgrcic/Vistas-NP, github.com/pb-brainiac/semseg_od

[52]

On the Convergence of Continuous Constrained Optimization for Structure Learning

Ignavier Ng, Sébastien Lachapelle, Nan Rosemary Ke, Simon Lacoste-Julien

摘要：

原文：http://arxiv.org/pdf/2011.11150v1

资源：github.com/xunzheng/notears

[53]

Pareto-efficient Acquisition Functions for Cost-Aware Bayesian Optimization

Gauthier Guinet, Valerio Peronne, Cédric Archambeau

摘要：

原文：http://arxiv.org/pdf/2011.11456v1

资源：github.com/SheffieldML/GPyOpt

[54]

Effectiveness of MPC-friendly Softmax Replacement

Marcel Keller, Ke Sun

摘要：

原文：http://arxiv.org/pdf/2011.11202v1

[55]

Learning a Deep Generative Model like a Program: the Free Category Prior

Eli Sennesh

摘要：

原文：http://arxiv.org/pdf/2011.11063v1

[56]

Ranking Neural Checkpoints

Yandong Li, Xuhui Jia, Ruoxin Sang, Yukun Zhu, Bradley Green, Liqiang Wang, Boqing Gong

摘要：

原文：http://arxiv.org/pdf/2011.11200v1

综述

Survey

[57]

A Comprehensive Survey on Real-Time Voltage Stability Assessment for Power Systems

Gourav Wadhwa, Amandeep Kharb, Satyam Mishra, Mohit Kumar, Shreyansh Srivastav

摘要：

原文：http://arxiv.org/pdf/2011.10885v1

[58]

Locally Linear Embedding and its Variants: Tutorial and Survey

Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley

摘要：

原文：http://arxiv.org/pdf/2011.10925v1

[59]

Distributed Deep Reinforcement Learning: An Overview

Mohammad Reza Samsami, Hossein Alimadad

摘要：

原文：http://arxiv.org/pdf/2011.11012v1

[60]

Model Predictive Control for Micro Aerial Vehicles: A Survey

Huan Nguyen, Mina Kamel, Kostas Alexis, Roland Siegwart

摘要：

原文：http://arxiv.org/pdf/2011.11104v1

[61]

Peer-to-Peer Energy Systems for Connected Communities: A Review of Recent Advances and Emerging Challenges

Wayes Tushar, Chau Yuen, Tapan Saha, Thomas Morstyn, Archie Chapman, M. Jan E Alam, Sarmad Hanif, H. Vincent Poor

摘要：

原文：http://arxiv.org/pdf/2011.11118v1

[62]

Distance-based Data Cleaning: A Survey (Technical Report)

Yu Sun, Jian Zhang

摘要：

原文：http://arxiv.org/pdf/2011.11176v1

[63]

Time Series Data Imputation: A Survey on Deep Learning Approaches

Chenguang Fang, Chen Wang

摘要：

原文：http://arxiv.org/pdf/2011.11347v1

平台与工具

Platform & Tool

[64]

Power Market Tool (POMATO) for the Analysis of Zonal Electricity Markets

Richard Weinhold, Robert Mieth

摘要：

原文：http://arxiv.org/pdf/2011.11594v1

资源：github.com/richard-weinhold/pomato

语音技术

Audio & Speech

[65]

Exploring Voice Conversion based Data Augmentation in Text-Dependent Speaker Verification

Xiaoyi Qin, Yaogen Yang, Lin Yang, Xuyang Wang, Junjie Wang, Ming Li

摘要：

原文：http://arxiv.org/pdf/2011.10710v1

[66]

A Better and Faster End-to-End Model for Streaming ASR

Bo Li, Anmol Gulati, Jiahui Yu, Tara N. Sainath, Chung-Cheng Chiu, Arun Narayanan, Shuo-Yiin Chang, Ruoming Pang, Yanzhang He, James Qin, Wei Han, Qiao Liang, Yu Zhang, Trevor Strohman, Yonghui Wu

摘要：

原文：http://arxiv.org/pdf/2011.10798v1

[67]

Stochastic Talking Face Generation Using Latent Distribution Matching

Ravindra Yadav, Ashish Sardana, Vinay P Namboodiri, Rajesh M Hegde

摘要：

原文：http://arxiv.org/pdf/2011.10727v1

[68]

End-to-end Silent Speech Recognition with Acoustic Sensing

Jian Luo, Jianzong Wang, Ning Cheng, Guilin Jiang, Jing Xiao

摘要：

原文：http://arxiv.org/pdf/2011.11315v1

[69]

STEPs-RL: Speech-Text Entanglement for Phonetically Sound Representation Learning

Prakamya Mishra

摘要：

原文：http://arxiv.org/pdf/2011.11387v1

[70]

Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-organized Operational Layer

Mohammad Soltanian, Junaid Malik, Jenni Raitoharju, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj

摘要：

原文：http://arxiv.org/pdf/2011.11436v1

[71]

Using Synthetic Audio to Improve The Recognition of Out-Of-Vocabulary Words in End-To-End ASR Systems

Xianrui Zheng, Yulan Liu, Deniz Gunceler, Daniel Willett

摘要：

原文：http://arxiv.org/pdf/2011.11564v1

知识图谱

Knowledge Graph

[72]

AutoGraph: Automated Graph Neural Network

Yaoman Li, Irwin King

摘要：

原文：http://arxiv.org/pdf/2011.11288v1

[73]

MEG: Multi-Evidence GNN for Multimodal Semantic Forensics

Ekraam Sabir, Ayush Jaiswal, Wael AbdAlmageed, Prem Natarajan

摘要：

原文：http://arxiv.org/pdf/2011.11286v1

资源：github.com/inejc/painters

[74]

Graph Attention Tracking

Dongyan Guo, Yanyan Shao, Ying Cui, Zhenhua Wang, Liyan Zhang, Chunhua Shen

摘要：

原文：http://arxiv.org/pdf/2011.11204v1

[75]

OAK: Ontology-Based Knowledge Map Model for Digital Agriculture

Quoc Hung Ngo, Tahar Kechadi, Nhien-An Le-Khac

摘要：

原文：http://arxiv.org/pdf/2011.11442v1

强化学习

Reinforcement Learning

[76]

An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare

Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi

摘要：

原文：http://arxiv.org/pdf/2011.11235v1

[77]

Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks

Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla

摘要：

原文：http://arxiv.org/pdf/2011.10824v1

[78]

Generative Adversarial Simulator

Jonathan Raiman

摘要：

原文：http://arxiv.org/pdf/2011.11472v1

[79]

Multi-Agent Reinforcement Learning for Dynamic Routing Games: A Unified Paradigm

Zhenyu Shou, Xuan Di

摘要：

原文：http://arxiv.org/pdf/2011.10915v1

医疗与健康

Medical Science & Health Care

[80]

Data Mining Techniques in Predicting Breast Cancer

Hamza Saad, Nagendra Nagarur

摘要：

原文：http://arxiv.org/pdf/2011.11088v1

[81]

Transfer Learning for Oral Cancer Detection using Microscopic Images

Rutwik Palaskar, Renu Vyas, Vilas Khedekar, Sangeeta Palaskar, Pranjal Sahu

摘要：

原文：http://arxiv.org/pdf/2011.11610v1

应用

Application

[82]

Abiotic Stress Prediction from RGB-T Images of Banana Plantlets

Sagi Levanon, Oshry Markovich, Itamar Gozlan, Ortal Bakhshian, Alon Zvirin, Yaron Honen, Ron Kimmel

摘要：

原文：http://arxiv.org/pdf/2011.11597v1

[83]

A decentralized aggregation mechanism for training deep learning models using smart contract system for bank loan prediction

Pratik Ratadiya, Khushi Asawa, Omkar Nikhal

摘要：

原文：http://arxiv.org/pdf/2011.10981v1

[84]

Enhancing Poaching Predictions for Under-Resourced Wildlife Conservation Parks Using Remote Sensing Imagery

Rachel Guo, Lily Xu, Drew Cronin, Francis Okeke, Andrew Plumptre, Milind Tambe

摘要：

原文：http://arxiv.org/pdf/2011.10666v1

[85]

A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting

Seungjae Jung, Kyung-Min Kim, Hanock Kwak, Young-Jin Park

摘要：

原文：http://arxiv.org/pdf/2011.10715v1

[86]

Characterization of Industrial Smoke Plumes from Remote Sensing Data

Michael Mommert, Mario Sigel, Marcel Neuhausler, Linus Scheibenreif, Damian Borth

摘要：

原文：http://arxiv.org/pdf/2011.11344v1

[87]

AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting

Jiawei Zhu, Chao Tao, Hanhan Deng, Ling Zhao, Pu Wang, Tao Lin, Haifeng Li

摘要：

原文：http://arxiv.org/pdf/2011.11004v1

其他技术

Others

[88]

Wireless Distributed Edge Learning: How Many Edge Devices Do We Need?

Jaeyoung Song, Marios Kountouris

摘要：

原文：http://arxiv.org/pdf/2011.10894v1

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本文分类：背景宽高随文本变化
浏览次数：69 次浏览
发布日期：2023-08-11 00:20:05
本文链接：https://www.kaopuke.com/article/k-p-k_14_uzo_22_f5_12__23__18_y.html

【论文】【CVPR2022】Real-time Object Detection for Streaming Perception1. Introduction2. Related Works3. Methods3.2. Pipeline4. Experiments4.2. Ablations for PipelineComparison with Kalman Filter based forecasting.5. 结论cites

概述

计算机视觉

Computer Vision

[1]

LRTA: A Transparent Neural-Symbolic Reasoning Framework with Modular Supervision for Visual Question Answering

Weixin Liang, Feiyang Niu, Aishwarya Reganti, Govind Thattai, Gokhan Tur

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[2]

Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation

Hala Lamdouar, Charig Yang, Weidi Xie, Andrew Zisserman

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[3]

PLOP: Learning without Forgetting for Continual Semantic Segmentation

Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord

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[4]

RNNP: A Robust Few-Shot Learning Approach

Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri

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[5]

End-to-End Differentiable 6DoF Object Pose Estimation with Local and Global Constraints

Anshul Gupta, Joydeep Medhi, Aratrik Chattopadhyay, Vikram Gupta

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[6]

Legacy Photo Editing with Learned Noise Prior

Zhao Yuzhi, Po Lai-Man, Wang Xuehui, Liu Kangcheng, Zhang Yujia, Yu Wing-Yin, Xian Pengfei, Xiong Jingjing

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[7]

CamVox: A Low-cost and Accurate Lidar-assisted Visual SLAM System

Yuewen Zhu, Chunran Zheng, Chongjian Yuan, Xu Huang, Xiaoping Hong

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[8]

The Selectivity and Competition of the Mind's Eye in Visual Perception

Edward Kim, Maryam Daniali, Jocelyn Rego, Garrett T. Kenyon

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[9]

Imbalance Robust Softmax for Deep Embeeding Learning

Hao Zhu, Yang Yuan, Guosheng Hu, Xiang Wu, Neil Robertson

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[10]

DmifNet:3D Shape Reconstruction Based on Dynamic Multi-Branch Information Fusion

Lei Li, Suping Wu

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[11]

Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases

Kunming Li, Stuart Eiffert, Mao Shan, Francisco Gomez-Donoso, Stewart Worrall, Eduardo Nebot

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[12]

On Connectivity-Aware Distributed Mobility Models for Area Coverage in Drone Networks

Mustafa Tosun, Umut Can Cabuk, Vahid Khalilpour Akram, Orhan Dagdeviren

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[13]

Visual Recognition of Great Ape Behaviours in the Wild

Faizaan Sakib, Tilo Burghardt

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[14]

Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images

Rewon Child

摘 要：

[15]

SCGAN: Saliency Map-guided Colorization with Generative Adversarial Network

Yuzhi Zhao, Lai-Man Po, Kwok-Wai Cheung, Wing-Yin Yu, Yasar Abbas Ur Rehman

摘 要：

[16]

Height Prediction and Refinement from Aerial Images with Semantic and Geometric Guidance

Elhousni Mahdi, Huang Xinming, Zhang Ziming

摘 要：

[17]

HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features

Cheng Sun, Min Sun, Hwann-Tzong Chen

摘 要：

[18]

Rethinking Transformer-based Set Prediction for Object Detection

Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris Kitani

摘 要：

[19]

Cryo-ZSSR: multiple-image super-resolution based on deep internal learning

Qinwen Huang, Ye Zhou, Xiaochen Du, Reed Chen, Jianyou Wang, Cynthia Rudin, Alberto Bartesaghi

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[20]

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