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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17,341 to 17,400 of 18,867

Deep Facial Expression Recognition: A Survey
Shan Li, Weihong Deng
cs.CVarXiv:1804.08348v22018
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation
Changqian Yu, Changxin Gao, Jingbo Wang +3
cs.CVarXiv:2004.02147v12020
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych +2
cs.CVarXiv:1711.07064v42017
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Battista Biggio, Fabio Roli
cs.CVcs.CRcs.GTarXiv:1712.03141v22017
ImageBind: One Embedding Space To Bind Them All
Rohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu +4
cs.CVcs.AIcs.LGarXiv:2305.05665v22023
IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
Hu Ye, Jun Zhang, Sibo Liu +2
cs.CVcs.AIarXiv:2308.06721v12023
MVSNet: Depth Inference for Unstructured Multi-view Stereo
Yao Yao, Zixin Luo, Shiwei Li +2
cs.CVarXiv:1804.02505v22018
Multiscale Vision Transformers
Haoqi Fan, Bo Xiong, Karttikeya Mangalam +4
cs.CVcs.AIcs.LGarXiv:2104.11227v12021
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
Zhe Chen, Weiyun Wang, Yue Cao +39
cs.CVarXiv:2412.05271v52024
Generative Adversarial Network in Medical Imaging: A Review
Xin Yi, Ekta Walia, Paul Babyn
cs.CVcs.LGarXiv:1809.07294v42018
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
Yujun Lin, Song Han, Huizi Mao +2
cs.CVcs.DCcs.LGarXiv:1712.01887v32017
Coupled Generative Adversarial Networks
Ming-Yu Liu, Oncel Tuzel
cs.CVarXiv:1606.07536v22016
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
Bin Lin, Yang Ye, Bin Zhu +4
cs.CVarXiv:2311.10122v32023
COCO-Stuff: Thing and Stuff Classes in Context
Holger Caesar, Jasper Uijlings, Vittorio Ferrari
cs.CVarXiv:1612.03716v42016
Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation
Yuhui Yuan, Xiaokang Chen, Xilin Chen +1
cs.CVarXiv:1909.11065v62019
LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
Abhishek Chaurasia, Eugenio Culurciello
cs.CVcs.LGarXiv:1707.03718v12017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
Weilin Xu, David Evans, Yanjun Qi
cs.CVcs.CRcs.LGarXiv:1704.01155v22017
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter +3
cs.CVarXiv:1802.10349v32018
Category-Level 3D Correspondence in Camera Space via Morphable Object Priors
Leonhard Sommer, Artur Jesslen, Basavaraj Sunagad +1
cs.CVarXiv:2605.28257v12026
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking
Martin Danelljan, Andreas Robinson, Fahad Shahbaz Khan +1
cs.CVarXiv:1608.03773v22016
iVGR: Internalizing Visually Grounded Reasoning for MLLMs with Reinforcement Learning
Chang-Bin Zhang, Yujie Zhong, Qiang Zhang +1
cs.CVarXiv:2605.31096v12026
How and What to Imagine? Visual Thinking in Unified Multimodal Models for Cross-View Spatial Reasoning
Qian Yang, Ankur Sikarwar, Huy Le +4
cs.CVarXiv:2605.27310v12026
OmniInteract: Benchmarking Real-World Streaming Interaction for Real-Time Omnimodal Assistants
Xudong Lu, Xueying Li, Annan Wang +8
cs.CVcs.CLarXiv:2605.26485v12026
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
Chaoyou Fu, Peixian Chen, Yunhang Shen +11
cs.CVarXiv:2306.13394v52023
Inverting Gradients -- How easy is it to break privacy in federated learning?
Jonas Geiping, Hartmut Bauermeister, Hannah Dröge +1
cs.CVcs.CRcs.LGarXiv:2003.14053v22020
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Dmitry Kalashnikov, Alex Irpan, Peter Pastor +8
cs.LGcs.AIcs.CVarXiv:1806.10293v32018
ResNeSt: Split-Attention Networks
Hang Zhang, Chongruo Wu, Zhongyue Zhang +9
cs.CVarXiv:2004.08955v22020
Panoptic Segmentation
Alexander Kirillov, Kaiming He, Ross Girshick +2
cs.CVarXiv:1801.00868v32018
Grounded Language-Image Pre-training
Liunian Harold Li, Pengchuan Zhang, Haotian Zhang +9
cs.CVcs.AIcs.CLarXiv:2112.03857v22021
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning
Yuke Zhu, Roozbeh Mottaghi, Eric Kolve +4
cs.CVarXiv:1609.05143v12016
MemNet: A Persistent Memory Network for Image Restoration
Ying Tai, Jian Yang, Xiaoming Liu +1
cs.CVarXiv:1708.02209v12017
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Zifeng Wu, Chunhua Shen, Anton van den Hengel
cs.CVarXiv:1611.10080v12016
Interpretable Explanations of Black Boxes by Meaningful Perturbation
Ruth Fong, Andrea Vedaldi
cs.CVcs.AIcs.LGarXiv:1704.03296v42017
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
Samet Akcay, Amir Atapour-Abarghouei, Toby P. Breckon
cs.CVarXiv:1805.06725v32018
Hierarchical Question-Image Co-Attention for Visual Question Answering
Jiasen Lu, Jianwei Yang, Dhruv Batra +1
cs.CVcs.CLarXiv:1606.00061v52016
SceneFrom3D: Geometry-Conditioned Outdoor 3D Scene Generation via View Scheduling with Object-Level Control
Geonung Kim, Jeongeun Park, Nuri Ryu +2
cs.GRcs.CVarXiv:2607.04540v12026
Summaries:한국어
ABACUS: Adapting Unified Foundation Model for Bridging Image Count Understanding and Generation
Anindya Mondal, Sauradip Nag, Anjan Dutta
cs.CVeess.IVarXiv:2606.23835v12026
Summaries:한국어
PhyCo: Learning Controllable Physical Priors for Generative Motion
Sriram Narayanan, Ziyu Jiang, Srinivasa Narasimhan +1
cs.CVcs.AIcs.LGarXiv:2604.28169v12026
Summaries:한국어
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
Chunyuan Li, Cliff Wong, Sheng Zhang +6
cs.CVcs.CLarXiv:2306.00890v12023
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos +6
cs.CVarXiv:1604.01685v22016
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
Bryan A. Plummer, Liwei Wang, Chris M. Cervantes +3
cs.CVcs.CLarXiv:1505.04870v42015
Video Enhancement with Task-Oriented Flow
Tianfan Xue, Baian Chen, Jiajun Wu +2
cs.CVarXiv:1711.09078v32017
Large-Scale Evolution of Image Classifiers
Esteban Real, Sherry Moore, Andrew Selle +5
cs.NEcs.AIcs.CVarXiv:1703.01041v22017
Generation and Comprehension of Unambiguous Object Descriptions
Junhua Mao, Jonathan Huang, Alexander Toshev +3
cs.CVcs.CLcs.LGarXiv:1511.02283v32015
MesoNet: a Compact Facial Video Forgery Detection Network
Darius Afchar, Vincent Nozick, Junichi Yamagishi +1
cs.CVeess.IVarXiv:1809.00888v12018
Deep Metric Learning via Lifted Structured Feature Embedding
Hyun Oh Song, Yu Xiang, Stefanie Jegelka +1
cs.CVcs.LGarXiv:1511.06452v12015
Objaverse: A Universe of Annotated 3D Objects
Matt Deitke, Dustin Schwenk, Jordi Salvador +7
cs.CVcs.AIcs.GRarXiv:2212.08051v12022
Image Captioning with Semantic Attention
Quanzeng You, Hailin Jin, Zhaowen Wang +2
cs.CVarXiv:1603.03925v12016
Fully Convolutional Siamese Networks for Change Detection
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch
cs.CVcs.LGarXiv:1810.08462v12018
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
Jun Liu, Amir Shahroudy, Mauricio Perez +3
cs.CVarXiv:1905.04757v22019
RMPE: Regional Multi-person Pose Estimation
Hao-Shu Fang, Shuqin Xie, Yu-Wing Tai +1
cs.CVarXiv:1612.00137v52016
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection
Dong Gong, Lingqiao Liu, Vuong Le +4
cs.CVarXiv:1904.02639v22019
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios
Xingkui Zhu, Shuchang Lyu, Xu Wang +1
cs.CVcs.AIarXiv:2108.11539v12021
Kindling the Darkness: A Practical Low-light Image Enhancer
Yonghua Zhang, Jiawan Zhang, Xiaojie Guo
cs.CVarXiv:1905.04161v12019
Towards Total Recall in Industrial Anomaly Detection
Karsten Roth, Latha Pemula, Joaquin Zepeda +3
cs.CVarXiv:2106.08265v22021
A Survey on Contrastive Self-supervised Learning
Ashish Jaiswal, Ashwin Ramesh Babu, Mohammad Zaki Zadeh +2
cs.CVarXiv:2011.00362v32020
Which Pretraining Paradigm Better Serves Spatial Intelligence? An Empirical Comparison of Vision-Language and Video Generation Models
Haozhan Shen, Tiancheng Zhao, Kangjia Zhao +1
cs.CVarXiv:2605.28132v12026
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks, Mantas Mazeika, Thomas Dietterich
cs.LGcs.CLcs.CVarXiv:1812.04606v32018
Deeper, Broader and Artier Domain Generalization
Da Li, Yongxin Yang, Yi-Zhe Song +1
cs.CVarXiv:1710.03077v12017
LoMo: Local Modality Substitution for Deeper Vision-Language Fusion
Feng Han, Zhixiong Zhang, Zheming Liang +2
cs.CVcs.CLarXiv:2605.30265v12026

Computer Vision and Pattern Recognition

Deep Facial Expression Recognition: A Survey

BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation

DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning

ImageBind: One Embedding Space To Bind Them All

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

MVSNet: Depth Inference for Unstructured Multi-view Stereo

Multiscale Vision Transformers

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Generative Adversarial Network in Medical Imaging: A Review

Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Coupled Generative Adversarial Networks

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

COCO-Stuff: Thing and Stuff Classes in Context

Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation

LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation

Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks

Learning to Adapt Structured Output Space for Semantic Segmentation

Category-Level 3D Correspondence in Camera Space via Morphable Object Priors

Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking

iVGR: Internalizing Visually Grounded Reasoning for MLLMs with Reinforcement Learning

How and What to Imagine? Visual Thinking in Unified Multimodal Models for Cross-View Spatial Reasoning

OmniInteract: Benchmarking Real-World Streaming Interaction for Real-Time Omnimodal Assistants

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Inverting Gradients -- How easy is it to break privacy in federated learning?

QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

ResNeSt: Split-Attention Networks

Panoptic Segmentation

Grounded Language-Image Pre-training

Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning

MemNet: A Persistent Memory Network for Image Restoration

Wider or Deeper: Revisiting the ResNet Model for Visual Recognition

Interpretable Explanations of Black Boxes by Meaningful Perturbation

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Hierarchical Question-Image Co-Attention for Visual Question Answering

SceneFrom3D: Geometry-Conditioned Outdoor 3D Scene Generation via View Scheduling with Object-Level Control

ABACUS: Adapting Unified Foundation Model for Bridging Image Count Understanding and Generation

PhyCo: Learning Controllable Physical Priors for Generative Motion

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

The Cityscapes Dataset for Semantic Urban Scene Understanding

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

Video Enhancement with Task-Oriented Flow

Large-Scale Evolution of Image Classifiers

Generation and Comprehension of Unambiguous Object Descriptions

MesoNet: a Compact Facial Video Forgery Detection Network

Deep Metric Learning via Lifted Structured Feature Embedding

Objaverse: A Universe of Annotated 3D Objects

Image Captioning with Semantic Attention

Fully Convolutional Siamese Networks for Change Detection

NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding

RMPE: Regional Multi-person Pose Estimation

Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection

TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios

Kindling the Darkness: A Practical Low-light Image Enhancer

Towards Total Recall in Industrial Anomaly Detection

A Survey on Contrastive Self-supervised Learning

Which Pretraining Paradigm Better Serves Spatial Intelligence? An Empirical Comparison of Vision-Language and Video Generation Models

Deep Anomaly Detection with Outlier Exposure

Deeper, Broader and Artier Domain Generalization

LoMo: Local Modality Substitution for Deeper Vision-Language Fusion