Computer Vision and Pattern Recognition

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23,821 to 23,880 of 27,325

DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection
Vitjan Zavrtanik, Matej Kristan, Danijel Skočaj
cs.CVarXiv:2108.07610v22021
Affective Image Content Analysis: Two Decades Review and New Perspectives
Sicheng Zhao, Xingxu Yao, Jufeng Yang +5
cs.CVcs.AIcs.MMarXiv:2106.16125v12021
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation
Weiyao Wang, Matt Feiszli, Heng Wang +1
cs.CVarXiv:2104.04691v12021
Interpreting Super-Resolution Networks with Local Attribution Maps
Jinjin Gu, Chao Dong
cs.CVarXiv:2011.11036v22020
TransFER: Learning Relation-aware Facial Expression Representations with Transformers
Fanglei Xue, Qiangchang Wang, Guodong Guo
cs.CVarXiv:2108.11116v12021
Multi-Modal 3D Object Detection in Autonomous Driving: a Survey
Yingjie Wang, Qiuyu Mao, Hanqi Zhu +5
cs.CVarXiv:2106.12735v32021
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition
Qibin Hou, Zihang Jiang, Li Yuan +3
cs.CVarXiv:2106.12368v12021
Dynamic Head: Unifying Object Detection Heads with Attentions
Xiyang Dai, Yinpeng Chen, Bin Xiao +4
cs.CVarXiv:2106.08322v12021
One Million Scenes for Autonomous Driving: ONCE Dataset
Jiageng Mao, Minzhe Niu, Chenhan Jiang +10
cs.CVarXiv:2106.11037v32021
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks
Richard J. Chen, Ming Y. Lu, Muhammad Shaban +4
eess.IVcs.CVq-bio.TOarXiv:2107.13048v12021
Learning the Best Pooling Strategy for Visual Semantic Embedding
Jiacheng Chen, Hexiang Hu, Hao Wu +2
cs.CVarXiv:2011.04305v52020
Contextual Transformer Networks for Visual Recognition
Yehao Li, Ting Yao, Yingwei Pan +1
cs.CVcs.AIcs.LGarXiv:2107.12292v12021
TimeLens: Event-based Video Frame Interpolation
Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis +4
cs.CVarXiv:2106.07286v12021
CTNet: Context-based Tandem Network for Semantic Segmentation
Zechao Li, Yanpeng Sun, Jinhui Tang
cs.CVarXiv:2104.09805v12021
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth
Vitor Guizilini, Rui Hou, Jie Li +2
cs.CVcs.LGarXiv:2002.12319v12020
Camera-aware Proxies for Unsupervised Person Re-Identification
Menglin Wang, Baisheng Lai, Jianqiang Huang +2
cs.CVarXiv:2012.10674v22020
Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose
Ran Yi, Zipeng Ye, Juyong Zhang +2
cs.CVcs.GRarXiv:2002.10137v22020
Referring Transformer: A One-step Approach to Multi-task Visual Grounding
Muchen Li, Leonid Sigal
cs.CVarXiv:2106.03089v22021
RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching
Lahav Lipson, Zachary Teed, Jia Deng
cs.CVarXiv:2109.07547v12021
Pivotal Tuning for Latent-based Editing of Real Images
Daniel Roich, Ron Mokady, Amit H. Bermano +1
cs.CVarXiv:2106.05744v12021
Learning to Prompt for Vision-Language Models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy +1
cs.CVcs.AIcs.LGarXiv:2109.01134v62021
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources
S. Salcedo-Sanz, P. Ghamisi, M. Piles +7
cs.CVcs.LGarXiv:2012.05795v12020
Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherence
Siyue Yu, Bingfeng Zhang, Jimin Xiao +1
cs.CVarXiv:2012.04404v22020
PVT v2: Improved Baselines with Pyramid Vision Transformer
Wenhai Wang, Enze Xie, Xiang Li +6
cs.CVarXiv:2106.13797v72021
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
Xinyu Jia, Chuang Zhu, Minzhen Li +3
cs.CVcs.AIarXiv:2108.10831v42021
SimSwap: An Efficient Framework For High Fidelity Face Swapping
Renwang Chen, Xuanhong Chen, Bingbing Ni +1
cs.CVarXiv:2106.06340v12021
Graph Stacked Hourglass Networks for 3D Human Pose Estimation
Tianhan Xu, Wataru Takano
cs.CVarXiv:2103.16385v12021
VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding
Hu Xu, Gargi Ghosh, Po-Yao Huang +5
cs.CVcs.CLarXiv:2105.09996v32021
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
Yang Liu, Anbu Huang, Yun Luo +7
cs.LGcs.CVstat.MLarXiv:2001.06202v12020
Facial Emotion Recognition: State of the Art Performance on FER2013
Yousif Khaireddin, Zhuofa Chen
cs.CVcs.AIcs.LGarXiv:2105.03588v12021
GridMask Data Augmentation
Pengguang Chen, Shu Liu, Hengshuang Zhao +2
cs.CVarXiv:2001.04086v32020
An Autonomous Drone for Search and Rescue in Forests using Airborne Optical Sectioning
D. C. Schedl, I. Kurmi, O. Bimber
cs.CVarXiv:2105.04328v12021
FREE: Feature Refinement for Generalized Zero-Shot Learning
Shiming Chen, Wenjie Wang, Beihao Xia +4
cs.CVcs.AIarXiv:2107.13807v12021
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data
Damien Dablain, Bartosz Krawczyk, Nitesh V. Chawla
cs.CVcs.LGarXiv:2105.02340v12021
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
Jamie Watson, Oisin Mac Aodha, Victor Prisacariu +2
cs.CVarXiv:2104.14540v22021
Small Object Detection using Context and Attention
Jeong-Seon Lim, Marcella Astrid, Hyun-Jin Yoon +1
cs.CVarXiv:1912.06319v22019
Rethinking BiSeNet For Real-time Semantic Segmentation
Mingyuan Fan, Shenqi Lai, Junshi Huang +4
cs.CVarXiv:2104.13188v12021
Toward Transformer-Based Object Detection
Josh Beal, Eric Kim, Eric Tzeng +3
cs.CVcs.AIcs.LGarXiv:2012.09958v12020
PCT: Point cloud transformer
Meng-Hao Guo, Jun-Xiong Cai, Zheng-Ning Liu +3
cs.CVarXiv:2012.09688v42020
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
Mingyu Ding, Yuqi Huo, Hongwei Yi +4
cs.CVarXiv:1912.04799v22019
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning
Liangqiong Qu, Yuyin Zhou, Paul Pu Liang +5
cs.LGcs.CVarXiv:2106.06047v22021
PolyTransform: Deep Polygon Transformer for Instance Segmentation
Justin Liang, Namdar Homayounfar, Wei-Chiu Ma +3
cs.CVarXiv:1912.02801v42019
GelSight Wedge: Measuring High-Resolution 3D Contact Geometry with a Compact Robot Finger
Shaoxiong Wang, Yu She, Branden Romero +1
cs.ROcs.CVarXiv:2106.08851v12021
CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection
Su Pang, Daniel Morris, Hayder Radha
cs.CVarXiv:2009.00784v12020
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization
Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon +1
cs.CVarXiv:2104.04015v12021
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding
Shengheng Deng, Xun Xu, Chaozheng Wu +2
cs.CVarXiv:2103.16397v22021
A Dataset And Benchmark Of Underwater Object Detection For Robot Picking
Chongwei Liu, Haojie Li, Shuchang Wang +4
cs.CVarXiv:2106.05681v12021
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities
Tongxue Zhou, Stéphane Canu, Pierre Vera +1
eess.IVcs.CVarXiv:2104.06231v22021
BRepNet: A topological message passing system for solid models
Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman +3
cs.LGcs.CVarXiv:2104.00706v22021
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering
Jang Hyun Cho, Utkarsh Mall, Kavita Bala +1
cs.CVarXiv:2103.17070v12021
OVANet: One-vs-All Network for Universal Domain Adaptation
Kuniaki Saito, Kate Saenko
cs.CVarXiv:2104.03344v42021
InverseForm: A Loss Function for Structured Boundary-Aware Segmentation
Shubhankar Borse, Ying Wang, Yizhe Zhang +1
cs.CVcs.LGarXiv:2104.02745v22021
Vision Transformer for Fast and Efficient Scene Text Recognition
Rowel Atienza
cs.CVarXiv:2105.08582v12021
Are Convolutional Neural Networks or Transformers more like human vision?
Shikhar Tuli, Ishita Dasgupta, Erin Grant +1
cs.CVarXiv:2105.07197v22021
An Empirical Study of Training Self-Supervised Vision Transformers
Xinlei Chen, Saining Xie, Kaiming He
cs.CVcs.LGarXiv:2104.02057v42021
Learning Graph Embeddings for Compositional Zero-shot Learning
Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari +1
cs.CVarXiv:2102.01987v32021
Pointly-Supervised Instance Segmentation
Bowen Cheng, Omkar Parkhi, Alexander Kirillov
cs.CVarXiv:2104.06404v22021
Going deeper with Image Transformers
Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles +2
cs.CVarXiv:2103.17239v22021
Learning To Count Everything
Viresh Ranjan, Udbhav Sharma, Thu Nguyen +1
cs.CVarXiv:2104.08391v12021
Facial Expression Recognition with Visual Transformers and Attentional Selective Fusion
Fuyan Ma, Bin Sun, Shutao Li
cs.CVarXiv:2103.16854v32021

Computer Vision and Pattern Recognition

DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection

Affective Image Content Analysis: Two Decades Review and New Perspectives

Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation

Interpreting Super-Resolution Networks with Local Attribution Maps

TransFER: Learning Relation-aware Facial Expression Representations with Transformers

Multi-Modal 3D Object Detection in Autonomous Driving: a Survey

Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition

Dynamic Head: Unifying Object Detection Heads with Attentions

One Million Scenes for Autonomous Driving: ONCE Dataset

Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks

Learning the Best Pooling Strategy for Visual Semantic Embedding

Contextual Transformer Networks for Visual Recognition

TimeLens: Event-based Video Frame Interpolation

CTNet: Context-based Tandem Network for Semantic Segmentation

Semantically-Guided Representation Learning for Self-Supervised Monocular Depth

Camera-aware Proxies for Unsupervised Person Re-Identification

Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose

Referring Transformer: A One-step Approach to Multi-task Visual Grounding

RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching

Pivotal Tuning for Latent-based Editing of Real Images

Learning to Prompt for Vision-Language Models

Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources

Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherence

PVT v2: Improved Baselines with Pyramid Vision Transformer

LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

SimSwap: An Efficient Framework For High Fidelity Face Swapping

Graph Stacked Hourglass Networks for 3D Human Pose Estimation

VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding

FedVision: An Online Visual Object Detection Platform Powered by Federated Learning

Facial Emotion Recognition: State of the Art Performance on FER2013

GridMask Data Augmentation

An Autonomous Drone for Search and Rescue in Forests using Airborne Optical Sectioning

FREE: Feature Refinement for Generalized Zero-Shot Learning

DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data

The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth

Small Object Detection using Context and Attention

Rethinking BiSeNet For Real-time Semantic Segmentation

Toward Transformer-Based Object Detection

PCT: Point cloud transformer

Learning Depth-Guided Convolutions for Monocular 3D Object Detection

Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning

PolyTransform: Deep Polygon Transformer for Instance Segmentation

GelSight Wedge: Measuring High-Resolution 3D Contact Geometry with a Compact Robot Finger

CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection

CutPaste: Self-Supervised Learning for Anomaly Detection and Localization

3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding

A Dataset And Benchmark Of Underwater Object Detection For Robot Picking

Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities

BRepNet: A topological message passing system for solid models

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering

OVANet: One-vs-All Network for Universal Domain Adaptation

InverseForm: A Loss Function for Structured Boundary-Aware Segmentation

Vision Transformer for Fast and Efficient Scene Text Recognition

Are Convolutional Neural Networks or Transformers more like human vision?

An Empirical Study of Training Self-Supervised Vision Transformers

Learning Graph Embeddings for Compositional Zero-shot Learning

Pointly-Supervised Instance Segmentation

Going deeper with Image Transformers

Learning To Count Everything

Facial Expression Recognition with Visual Transformers and Attentional Selective Fusion