Computer Vision and Pattern Recognition

Papers filed under cs.CV on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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16,801 to 16,860 of 18,830

Don't Decay the Learning Rate, Increase the Batch Size
Samuel L. Smith, Pieter-Jan Kindermans, Chris Ying +1
cs.LGcs.CVcs.DCarXiv:1711.00489v22017
Rethinking ImageNet Pre-training
Kaiming He, Ross Girshick, Piotr Dollár
cs.CVarXiv:1811.08883v12018
DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
Zachary Teed, Jia Deng
cs.CVarXiv:2108.10869v22021
Dynamic Network Surgery for Efficient DNNs
Yiwen Guo, Anbang Yao, Yurong Chen
cs.NEcs.CVcs.LGarXiv:1608.04493v22016
MaPLe: Multi-modal Prompt Learning
Muhammad Uzair Khattak, Hanoona Rasheed, Muhammad Maaz +2
cs.CVarXiv:2210.03117v32022
iBOT: Image BERT Pre-Training with Online Tokenizer
Jinghao Zhou, Chen Wei, Huiyu Wang +4
cs.CVarXiv:2111.07832v32021
Tversky loss function for image segmentation using 3D fully convolutional deep networks
Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour
cs.CVarXiv:1706.05721v12017
Scaling Vision with Sparse Mixture of Experts
Carlos Riquelme, Joan Puigcerver, Basil Mustafa +5
cs.CVcs.LGstat.MLarXiv:2106.05974v12021
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries
Yue Wang, Vitor Guizilini, Tianyuan Zhang +3
cs.CVcs.AIcs.LGarXiv:2110.06922v12021
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
Wenyi Hong, Ming Ding, Wendi Zheng +2
cs.CVcs.CLcs.LGarXiv:2205.15868v12022
Editing Models with Task Arithmetic
Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman +4
cs.LGcs.CLcs.CVarXiv:2212.04089v32022
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
Xumin Yu, Lulu Tang, Yongming Rao +3
cs.CVcs.AIcs.LGarXiv:2111.14819v22021
Depth-supervised NeRF: Fewer Views and Faster Training for Free
Kangle Deng, Andrew Liu, Jun-Yan Zhu +1
cs.CVcs.GRcs.LGarXiv:2107.02791v32021
Soft Anisotropic Diagrams for Differentiable Image Representation
Laki Iinbor, Zhiyang Dou, Wojciech Matusik
cs.CVarXiv:2604.21984v22026
SketchVLM: Vision language models can annotate images to explain thoughts and guide users
Brandon Collins, Logan Bolton, Hung Huy Nguyen +3
cs.CVcs.AIarXiv:2604.22875v22026
Summaries:한국어
Person Re-identification: Past, Present and Future
Liang Zheng, Yi Yang, Alexander G. Hauptmann
cs.CVarXiv:1610.02984v12016
TALL: Temporal Activity Localization via Language Query
Jiyang Gao, Chen Sun, Zhenheng Yang +1
cs.CVarXiv:1705.02101v22017
Seeing Isn't Believing: Uncovering Blind Spots in Evaluator Vision-Language Models
Mohammed Safi Ur Rahman Khan, Sanjay Suryanarayanan, Tushar Anand +1
cs.CVcs.CLarXiv:2604.21523v12026
RaV-IDP: A Reconstruction-as-Validation Framework for Faithful Intelligent Document Processing
Pritesh Jha
cs.CVcs.AIarXiv:2604.23644v12026
Deep Double Descent: Where Bigger Models and More Data Hurt
Preetum Nakkiran, Gal Kaplun, Yamini Bansal +3
cs.LGcs.CVcs.NEarXiv:1912.02292v12019
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
Mohit Shridhar, Jesse Thomason, Daniel Gordon +5
cs.CVcs.AIcs.CLarXiv:1912.01734v22019
Attention Augmented Convolutional Networks
Irwan Bello, Barret Zoph, Ashish Vaswani +2
cs.CVarXiv:1904.09925v52019
Neural 3D Mesh Renderer
Hiroharu Kato, Yoshitaka Ushiku, Tatsuya Harada
cs.CVcs.LGarXiv:1711.07566v12017
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Wenhai Wang, Jifeng Dai, Zhe Chen +9
cs.CVarXiv:2211.05778v42022
Probing Visual Planning in Image Editing Models
Zhimu Zhou, Yanpeng Zhao, Qiuyu Liao +2
cs.CVcs.AIarXiv:2604.22868v12026
AnalogRetriever: Learning Cross-Modal Representations for Analog Circuit Retrieval
Yihan Wang, Lei Li, Yao Lai +2
cs.CVcs.AIarXiv:2604.23195v12026
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
Eldar Insafutdinov, Leonid Pishchulin, Bjoern Andres +2
cs.CVarXiv:1605.03170v32016
OceanPile: A Large-Scale Multimodal Ocean Corpus for Foundation Models
Yida Xue, Ningyu Zhang, Tingwei Wu +5
cs.MMcs.AIcs.CLarXiv:2605.00877v22026
Data Augmentation Generative Adversarial Networks
Antreas Antoniou, Amos Storkey, Harrison Edwards
stat.MLcs.CVcs.LGarXiv:1711.04340v32017
Learning to Identify Out-of-Distribution Objects for 3D LiDAR Anomaly Segmentation
Simone Mosco, Daniel Fusaro, Alberto Pretto
cs.CVcs.ROarXiv:2604.23604v12026
VIBE: Video Inference for Human Body Pose and Shape Estimation
Muhammed Kocabas, Nikos Athanasiou, Michael J. Black
cs.CVarXiv:1912.05656v32019
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
Chen Wang, Danfei Xu, Yuke Zhu +4
cs.CVcs.ROarXiv:1901.04780v12019
Learning Spatio-Temporal Transformer for Visual Tracking
Bin Yan, Houwen Peng, Jianlong Fu +2
cs.CVarXiv:2103.17154v12021
AutoGUI-v2: A Comprehensive Multi-Modal GUI Functionality Understanding Benchmark
Hongxin Li, Xiping Wang, Jingran Su +4
cs.CVarXiv:2604.24441v12026
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval
Huaishao Luo, Lei Ji, Ming Zhong +4
cs.CVarXiv:2104.08860v22021
GoClick: Lightweight Element Grounding Model for Autonomous GUI Interaction
Hongxin Li, Yuntao Chen, Zhaoxiang Zhang
cs.CVarXiv:2604.23941v12026
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang, Tao Xu, Hongsheng Li +4
cs.CVcs.AIstat.MLarXiv:1710.10916v32017
ShareGPT4V: Improving Large Multi-Modal Models with Better Captions
Lin Chen, Jinsong Li, Xiaoyi Dong +5
cs.CVarXiv:2311.12793v22023
Symmetric Cross Entropy for Robust Learning with Noisy Labels
Yisen Wang, Xingjun Ma, Zaiyi Chen +3
cs.LGcs.CVstat.MLarXiv:1908.06112v12019
Deep Learning for Medical Image Processing: Overview, Challenges and Future
Muhammad Imran Razzak, Saeeda Naz, Ahmad Zaib
cs.CVarXiv:1704.06825v12017
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding
Aishwarya Kamath, Mannat Singh, Yann LeCun +3
cs.CVcs.CLcs.LGarXiv:2104.12763v22021
FDA: Fourier Domain Adaptation for Semantic Segmentation
Yanchao Yang, Stefano Soatto
cs.CVarXiv:2004.05498v12020
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
Jiajun Deng, Shaoshuai Shi, Peiwei Li +3
cs.CVarXiv:2012.15712v22020
X2SAM: Any Segmentation in Images and Videos
Hao Wang, Limeng Qiao, Chi Zhang +4
cs.CVcs.AIarXiv:2605.00891v12026
Accelerating 3D Deep Learning with PyTorch3D
Nikhila Ravi, Jeremy Reizenstein, David Novotny +4
cs.CVcs.GRcs.LGarXiv:2007.08501v12020
FcaNet: Frequency Channel Attention Networks
Zequn Qin, Pengyi Zhang, Fei Wu +1
cs.CVarXiv:2012.11879v42020
Refinement via Regeneration: Enlarging Modification Space Boosts Image Refinement in Unified Multimodal Models
Jiayi Guo, Linqing Wang, Jiangshan Wang +6
cs.CVarXiv:2604.25636v12026
Importance Estimation for Neural Network Pruning
Pavlo Molchanov, Arun Mallya, Stephen Tyree +2
cs.LGcs.CVstat.MLarXiv:1906.10771v12019
RADIO-ViPE: Online Tightly Coupled Multi-Modal Fusion for Open-Vocabulary Semantic SLAM in Dynamic Environments
Zaid Nasser, Mikhail Iumanov, Tianhao Li +3
cs.CVarXiv:2604.26067v12026
Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop
Nikos Kolotouros, Georgios Pavlakos, Michael J. Black +1
cs.CVarXiv:1909.12828v12019
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
Yan Wang, Wei-Lun Chao, Divyansh Garg +3
cs.CVarXiv:1812.07179v62018
FASH-iCNN: Making Editorial Fashion Identity Inspectable Through Multimodal CNN Probing
Morayo Danielle Adeyemi, Ryan A. Rossi, Franck Dernoncourt
cs.CVcs.HCcs.IRarXiv:2604.26186v12026
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain, Amir R. Zamir, Silvio Savarese +1
cs.CVcs.LGcs.NEarXiv:1511.05298v32015
From Coarse to Fine: Robust Hierarchical Localization at Large Scale
Paul-Edouard Sarlin, Cesar Cadena, Roland Siegwart +1
cs.CVarXiv:1812.03506v22018
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
Jay Zhangjie Wu, Yixiao Ge, Xintao Wang +7
cs.CVarXiv:2212.11565v22022
Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors
Limin Wang, Yu Qiao, Xiaoou Tang
cs.CVarXiv:1505.04868v12015
DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection
Vitjan Zavrtanik, Matej Kristan, Danijel Skočaj
cs.CVarXiv:2108.07610v22021
Image De-raining Using a Conditional Generative Adversarial Network
He Zhang, Vishwanath Sindagi, Vishal M. Patel
cs.CVarXiv:1701.05957v42017
Oriented R-CNN for Object Detection
Xingxing Xie, Gong Cheng, Jiabao Wang +2
cs.CVarXiv:2108.05699v12021
Neural Module Networks
Jacob Andreas, Marcus Rohrbach, Trevor Darrell +1
cs.CVcs.CLcs.LGarXiv:1511.02799v42015

Computer Vision and Pattern Recognition

Don't Decay the Learning Rate, Increase the Batch Size

Rethinking ImageNet Pre-training

DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras

Dynamic Network Surgery for Efficient DNNs

MaPLe: Multi-modal Prompt Learning

iBOT: Image BERT Pre-Training with Online Tokenizer

Tversky loss function for image segmentation using 3D fully convolutional deep networks

Scaling Vision with Sparse Mixture of Experts

DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries

CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Editing Models with Task Arithmetic

Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling

Depth-supervised NeRF: Fewer Views and Faster Training for Free

Soft Anisotropic Diagrams for Differentiable Image Representation

SketchVLM: Vision language models can annotate images to explain thoughts and guide users

Person Re-identification: Past, Present and Future

TALL: Temporal Activity Localization via Language Query

Seeing Isn't Believing: Uncovering Blind Spots in Evaluator Vision-Language Models

RaV-IDP: A Reconstruction-as-Validation Framework for Faithful Intelligent Document Processing

Deep Double Descent: Where Bigger Models and More Data Hurt

ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

Attention Augmented Convolutional Networks

Neural 3D Mesh Renderer

InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

Probing Visual Planning in Image Editing Models

AnalogRetriever: Learning Cross-Modal Representations for Analog Circuit Retrieval

DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model

OceanPile: A Large-Scale Multimodal Ocean Corpus for Foundation Models

Data Augmentation Generative Adversarial Networks

Learning to Identify Out-of-Distribution Objects for 3D LiDAR Anomaly Segmentation

VIBE: Video Inference for Human Body Pose and Shape Estimation

DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

Learning Spatio-Temporal Transformer for Visual Tracking

AutoGUI-v2: A Comprehensive Multi-Modal GUI Functionality Understanding Benchmark

CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval

GoClick: Lightweight Element Grounding Model for Autonomous GUI Interaction

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

Symmetric Cross Entropy for Robust Learning with Noisy Labels

Deep Learning for Medical Image Processing: Overview, Challenges and Future

MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding

FDA: Fourier Domain Adaptation for Semantic Segmentation

Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection

X2SAM: Any Segmentation in Images and Videos

Accelerating 3D Deep Learning with PyTorch3D

FcaNet: Frequency Channel Attention Networks

Refinement via Regeneration: Enlarging Modification Space Boosts Image Refinement in Unified Multimodal Models

Importance Estimation for Neural Network Pruning

RADIO-ViPE: Online Tightly Coupled Multi-Modal Fusion for Open-Vocabulary Semantic SLAM in Dynamic Environments

Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop

Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

FASH-iCNN: Making Editorial Fashion Identity Inspectable Through Multimodal CNN Probing

Structural-RNN: Deep Learning on Spatio-Temporal Graphs

From Coarse to Fine: Robust Hierarchical Localization at Large Scale

Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors

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

Image De-raining Using a Conditional Generative Adversarial Network

Oriented R-CNN for Object Detection

Neural Module Networks