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.

Search paper metadata (including unsummarized papers)

17,041 to 17,100 of 18,866

From Captions to Visual Concepts and Back
Hao Fang, Saurabh Gupta, Forrest Iandola +9
cs.CVcs.CLarXiv:1411.4952v32014
Learning to Prompt for Continual Learning
Zifeng Wang, Zizhao Zhang, Chen-Yu Lee +7
cs.LGcs.CVarXiv:2112.08654v22021
Learning Fine-grained Image Similarity with Deep Ranking
Jiang Wang, Yang song, Thomas Leung +5
cs.CVarXiv:1404.4661v12014
Going deeper with Image Transformers
Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles +2
cs.CVarXiv:2103.17239v22021
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo +1
cs.CVcs.AIcs.LGarXiv:2104.13921v32021
Stand-Alone Self-Attention in Vision Models
Prajit Ramachandran, Niki Parmar, Ashish Vaswani +3
cs.CVarXiv:1906.05909v12019
LIFT: Learned Invariant Feature Transform
Kwang Moo Yi, Eduard Trulls, Vincent Lepetit +1
cs.CVarXiv:1603.09114v22016
Denoising Diffusion Restoration Models
Bahjat Kawar, Michael Elad, Stefano Ermon +1
eess.IVcs.CVcs.LGarXiv:2201.11793v32022
Delta-Adapter: Scalable Exemplar-Based Image Editing with Single-Pair Supervision
Jiacheng Chen, Songze Li, Han Fu +5
cs.CVarXiv:2605.07940v12026
ResUNet++: An Advanced Architecture for Medical Image Segmentation
Debesh Jha, Pia H. Smedsrud, Michael A. Riegler +4
eess.IVcs.CVarXiv:1911.07067v12019
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities
Weihao Yu, Zhengyuan Yang, Linjie Li +5
cs.AIcs.CLcs.CVarXiv:2308.02490v42023
Sparse Autoencoders as Plug-and-Play Firewalls for Adversarial Attack Detection in VLMs
Hao Wang, Yiqun Sun, Pengfei Wei +2
cs.CVcs.AIcs.CLarXiv:2605.07447v12026
Transformer Tracking
Xin Chen, Bin Yan, Jiawen Zhu +3
cs.CVarXiv:2103.15436v12021
BalCapRL: A Balanced Framework for RL-Based MLLM Image Captioning
Shaokai Ye, Vasileios Saveris, Yihao Qian +3
cs.CVcs.AIarXiv:2605.07394v12026
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
Martin Simonovsky, Nikos Komodakis
cs.CVcs.LGcs.NEarXiv:1704.02901v32017
Context Encoding for Semantic Segmentation
Hang Zhang, Kristin Dana, Jianping Shi +4
cs.CVarXiv:1803.08904v12018
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge
Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel +29
cs.CVarXiv:1612.08012v42016
Implicit Preference Alignment for Human Image Animation
Yuanzhi Wang, Xuhua Ren, Jiaxiang Cheng +5
cs.CVcs.AIarXiv:2605.07545v12026
Single-Shot Refinement Neural Network for Object Detection
Shifeng Zhang, Longyin Wen, Xiao Bian +2
cs.CVarXiv:1711.06897v32017
MC-RFM: Geometry-Aware Few-Shot Adaptation via Mixed-Curvature Riemannian Flow Matching
Salim Khazem, Ibrahim Mohamed Serouis, Zakaria Ezzahed
cs.CVcs.AIcs.LGarXiv:2605.08557v12026
Contrastive Representation Distillation
Yonglong Tian, Dilip Krishnan, Phillip Isola
cs.LGcs.CVstat.MLarXiv:1910.10699v32019
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
Shilong Liu, Feng Li, Hao Zhang +5
cs.CVarXiv:2201.12329v42022
Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction
Cheng Sun, Min Sun, Hwann-Tzong Chen
cs.CVarXiv:2111.11215v22021
Learning Temporal Regularity in Video Sequences
Mahmudul Hasan, Jonghyun Choi, Jan Neumann +2
cs.CVarXiv:1604.04574v12016
Learning Robust Global Representations by Penalizing Local Predictive Power
Haohan Wang, Songwei Ge, Eric P. Xing +1
cs.CVarXiv:1905.13549v22019
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems
Robert Krajewski, Julian Bock, Laurent Kloeker +1
cs.CVcs.AIcs.IRarXiv:1810.05642v12018
Human Motion Diffusion Model
Guy Tevet, Sigal Raab, Brian Gordon +3
cs.CVcs.GRarXiv:2209.14916v22022
Towards Accurate Generative Models of Video: A New Metric & Challenges
Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach +3
cs.CVcs.AIcs.LGarXiv:1812.01717v22018
From Pixels to Concepts: Do Segmentation Models Understand What They Segment?
Shuang Liang, Zeqing Wang, Yuxian Li +2
cs.CVarXiv:2605.09591v12026
TOOD: Task-aligned One-stage Object Detection
Chengjian Feng, Yujie Zhong, Yu Gao +2
cs.CVarXiv:2108.07755v32021
RigidFormer: Learning Rigid Dynamics using Transformers
Zhiyang Dou, Minghao Guo, Haixu Wu +3
cs.CVcs.AIcs.GRarXiv:2605.09196v12026
Additive Margin Softmax for Face Verification
Feng Wang, Weiyang Liu, Haijun Liu +1
cs.CVarXiv:1801.05599v42018
LLaVA-UHD v4: What Makes Efficient Visual Encoding in MLLMs?
Kechen Fang, Yihua Qin, Chongyi Wang +3
cs.CVarXiv:2605.08985v12026
Convolutional Neural Networks at Constrained Time Cost
Kaiming He, Jian Sun
cs.CVarXiv:1412.1710v12014
Multi-Concept Customization of Text-to-Image Diffusion
Nupur Kumari, Bingliang Zhang, Richard Zhang +2
cs.CVcs.GRcs.LGarXiv:2212.04488v22022
Flower: A Friendly Federated Learning Research Framework
Daniel J. Beutel, Taner Topal, Akhil Mathur +8
cs.LGcs.CVstat.MLarXiv:2007.14390v52020
Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization
Weisheng Dong, Lei Zhang, Guangming Shi +1
cs.CVcs.MMarXiv:1012.1184v12010
Reinforcing Multimodal Reasoning Against Visual Degradation
Rui Liu, Dian Yu, Haolin Liu +6
cs.CVcs.CLarXiv:2605.09262v12026
Attention to Scale: Scale-aware Semantic Image Segmentation
Liang-Chieh Chen, Yi Yang, Jiang Wang +2
cs.CVarXiv:1511.03339v22015
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Adrien Bardes, Jean Ponce, Yann LeCun
cs.CVcs.AIcs.LGarXiv:2105.04906v32021
The Replica Dataset: A Digital Replica of Indoor Spaces
Julian Straub, Thomas Whelan, Lingni Ma +27
cs.CVcs.GReess.IVarXiv:1906.05797v12019
A Review on Deep Learning Techniques Applied to Semantic Segmentation
Alberto Garcia-Garcia, Sergio Orts-Escolano, Sergiu Oprea +2
cs.CVcs.AIarXiv:1704.06857v12017
Tracking Objects as Points
Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
cs.CVarXiv:2004.01177v22020
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir, Alexander Sax, William Shen +3
cs.CVcs.AIcs.LGarXiv:1804.08328v12018
HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking
Jonathon Luiten, Aljosa Osep, Patrick Dendorfer +4
cs.CVarXiv:2009.07736v22020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning
Junnan Li, Richard Socher, Steven C. H. Hoi
cs.CVarXiv:2002.07394v12020
MetaFormer Is Actually What You Need for Vision
Weihao Yu, Mi Luo, Pan Zhou +5
cs.CVcs.AIcs.LGarXiv:2111.11418v32021
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows
Xiaoyi Dong, Jianmin Bao, Dongdong Chen +5
cs.CVcs.LGarXiv:2107.00652v32021
Scaling Egocentric Vision: The EPIC-KITCHENS Dataset
Dima Damen, Hazel Doughty, Giovanni Maria Farinella +8
cs.CVarXiv:1804.02748v22018
Big Transfer (BiT): General Visual Representation Learning
Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai +4
cs.CVcs.LGarXiv:1912.11370v32019
MegaDepth: Learning Single-View Depth Prediction from Internet Photos
Zhengqi Li, Noah Snavely
cs.CVarXiv:1804.00607v42018
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation
Zhaohui Zheng, Ping Wang, Dongwei Ren +4
cs.CVarXiv:2005.03572v42020
Volume Rendering of Neural Implicit Surfaces
Lior Yariv, Jiatao Gu, Yoni Kasten +1
cs.CVarXiv:2106.12052v22021
Evaluating the visualization of what a Deep Neural Network has learned
Wojciech Samek, Alexander Binder, Grégoire Montavon +2
cs.CVarXiv:1509.06321v12015
Stacked Cross Attention for Image-Text Matching
Kuang-Huei Lee, Xi Chen, Gang Hua +2
cs.CVcs.AIcs.LGarXiv:1803.08024v22018
Black-box Adversarial Attacks with Limited Queries and Information
Andrew Ilyas, Logan Engstrom, Anish Athalye +1
cs.CVcs.CRstat.MLarXiv:1804.08598v32018
End-to-End Multi-Task Learning with Attention
Shikun Liu, Edward Johns, Andrew J. Davison
cs.CVarXiv:1803.10704v22018
Simultaneous Deep Transfer Across Domains and Tasks
Eric Tzeng, Judy Hoffman, Trevor Darrell +1
cs.CVarXiv:1510.02192v12015
Convolutional Radio Modulation Recognition Networks
Timothy J O'Shea, Johnathan Corgan, T. Charles Clancy
cs.LGcs.CVarXiv:1602.04105v32016
YouTube-8M: A Large-Scale Video Classification Benchmark
Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee +4
cs.CVarXiv:1609.08675v12016

Computer Vision and Pattern Recognition

From Captions to Visual Concepts and Back

Learning to Prompt for Continual Learning

Learning Fine-grained Image Similarity with Deep Ranking

Going deeper with Image Transformers

Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

Stand-Alone Self-Attention in Vision Models

LIFT: Learned Invariant Feature Transform

Denoising Diffusion Restoration Models

Delta-Adapter: Scalable Exemplar-Based Image Editing with Single-Pair Supervision

ResUNet++: An Advanced Architecture for Medical Image Segmentation

MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Sparse Autoencoders as Plug-and-Play Firewalls for Adversarial Attack Detection in VLMs

Transformer Tracking

BalCapRL: A Balanced Framework for RL-Based MLLM Image Captioning

Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs

Context Encoding for Semantic Segmentation

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge

Implicit Preference Alignment for Human Image Animation

Single-Shot Refinement Neural Network for Object Detection

MC-RFM: Geometry-Aware Few-Shot Adaptation via Mixed-Curvature Riemannian Flow Matching

Contrastive Representation Distillation

DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction

Learning Temporal Regularity in Video Sequences

Learning Robust Global Representations by Penalizing Local Predictive Power

The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems

Human Motion Diffusion Model

Towards Accurate Generative Models of Video: A New Metric & Challenges

From Pixels to Concepts: Do Segmentation Models Understand What They Segment?

TOOD: Task-aligned One-stage Object Detection

RigidFormer: Learning Rigid Dynamics using Transformers

Additive Margin Softmax for Face Verification

LLaVA-UHD v4: What Makes Efficient Visual Encoding in MLLMs?

Convolutional Neural Networks at Constrained Time Cost

Multi-Concept Customization of Text-to-Image Diffusion

Flower: A Friendly Federated Learning Research Framework

Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization

Reinforcing Multimodal Reasoning Against Visual Degradation

Attention to Scale: Scale-aware Semantic Image Segmentation

VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

The Replica Dataset: A Digital Replica of Indoor Spaces

A Review on Deep Learning Techniques Applied to Semantic Segmentation

Tracking Objects as Points

Taskonomy: Disentangling Task Transfer Learning

HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking

DivideMix: Learning with Noisy Labels as Semi-supervised Learning

MetaFormer Is Actually What You Need for Vision

CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows

Scaling Egocentric Vision: The EPIC-KITCHENS Dataset

Big Transfer (BiT): General Visual Representation Learning

MegaDepth: Learning Single-View Depth Prediction from Internet Photos

Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation

Volume Rendering of Neural Implicit Surfaces

Evaluating the visualization of what a Deep Neural Network has learned

Stacked Cross Attention for Image-Text Matching

Black-box Adversarial Attacks with Limited Queries and Information

End-to-End Multi-Task Learning with Attention

Simultaneous Deep Transfer Across Domains and Tasks

Convolutional Radio Modulation Recognition Networks

YouTube-8M: A Large-Scale Video Classification Benchmark