Computer Vision and Pattern Recognition

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17,401 to 17,460 of 18,820

PraNet: Parallel Reverse Attention Network for Polyp Segmentation
Deng-Ping Fan, Ge-Peng Ji, Tao Zhou +4
eess.IVcs.CVarXiv:2006.11392v42020
Evaluating Object Hallucination in Large Vision-Language Models
Yifan Li, Yifan Du, Kun Zhou +3
cs.CVcs.CLcs.MMarXiv:2305.10355v32023
Lumos-Nexus: Efficient Frequency Bridging with Homogeneous Latent Space for Video Unified Models
Jiazheng Xing, Hangjie Yuan, Lingling Cai +9
cs.CVcs.AIarXiv:2605.31603v22026
DenseFuse: A Fusion Approach to Infrared and Visible Images
Hui Li, Xiao-Jun Wu
cs.CVarXiv:1804.08361v92018
Deep learning in remote sensing: a review
Xiao Xiang Zhu, Devis Tuia, Lichao Mou +4
cs.CVeess.IVarXiv:1710.03959v12017
Focal and Efficient IOU Loss for Accurate Bounding Box Regression
Yi-Fan Zhang, Weiqiang Ren, Zhang Zhang +3
cs.CVarXiv:2101.08158v22021
Cascade R-CNN: High Quality Object Detection and Instance Segmentation
Zhaowei Cai, Nuno Vasconcelos
cs.CVarXiv:1906.09756v12019
SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence
Yulu Pan, Han Yi, Seongsu Ha +4
cs.CVarXiv:2605.31529v22026
Image Transformer
Niki Parmar, Ashish Vaswani, Jakob Uszkoreit +4
cs.CVarXiv:1802.05751v32018
How can embedding models bind concepts?
Arnas Uselis, Darina Koishigarina, Seong Joon Oh
cs.CVcs.LGarXiv:2605.31503v12026
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
Hang Zhang, Xin Li, Lidong Bing
cs.CLcs.CVcs.SDarXiv:2306.02858v42023
PointConv: Deep Convolutional Networks on 3D Point Clouds
Wenxuan Wu, Zhongang Qi, Li Fuxin
cs.CVarXiv:1811.07246v32018
Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments
Peter Anderson, Qi Wu, Damien Teney +6
cs.CVcs.AIcs.CLarXiv:1711.07280v32017
Learning from Simulated and Unsupervised Images through Adversarial Training
Ashish Shrivastava, Tomas Pfister, Oncel Tuzel +3
cs.CVcs.LGcs.NEarXiv:1612.07828v22016
Linear Scaling Video VLMs for Long Video Understanding
Cristobal Eyzaguirre, Jiajun Wu, Juan Carlos Niebles
cs.CVarXiv:2605.31598v12026
Count Anything
Mengqi Lei, Shuokun Cheng, Wei Bao +4
cs.CVarXiv:2605.30846v12026
DecMem: Towards Minute-Long Consistent World Generation with Decoupled Memory
Zhenhao Yang, Xiaoshi Wu, Zhengyao Lv +5
cs.CVarXiv:2605.31336v12026
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
Christopher B. Choy, Danfei Xu, JunYoung Gwak +2
cs.CVcs.AIarXiv:1604.00449v12016
Task-Focused Memorization for Multimodal Agents
Tao Zou, Yichen He, Tian Qiu +2
cs.CVarXiv:2605.31075v12026
Function2Scene: 3D Indoor Scene Layout from Functional Specifications
Ruiqi Wang, Qimin Chen, Daniel Ritchie +4
cs.CVcs.GRarXiv:2605.30819v12026
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi +3
cs.CVcs.GRcs.LGarXiv:2008.02268v32020
Understanding Convolution for Semantic Segmentation
Panqu Wang, Pengfei Chen, Ye Yuan +4
cs.CVarXiv:1702.08502v32017
StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement
Junwon Seo, Sushant Veer, Ran Tian +6
cs.CVcs.AIcs.LGarXiv:2606.00267v12026
Learning Spatially Regularized Correlation Filters for Visual Tracking
Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan +1
cs.CVarXiv:1608.05571v12016
Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks
Jierun Chen, Shiu-hong Kao, Hao He +4
cs.CVarXiv:2303.03667v32023
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
Sanghyun Woo, Shoubhik Debnath, Ronghang Hu +4
cs.CVarXiv:2301.00808v12023
Understanding Neural Networks Through Deep Visualization
Jason Yosinski, Jeff Clune, Anh Nguyen +2
cs.CVcs.LGcs.NEarXiv:1506.06579v12015
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Yue Cao, Jiarui Xu, Stephen Lin +2
cs.CVcs.AIcs.LGarXiv:1904.11492v12019
FFA-Net: Feature Fusion Attention Network for Single Image Dehazing
Xu Qin, Zhilin Wang, Yuanchao Bai +2
cs.CVarXiv:1911.07559v22019
AutoAugment: Learning Augmentation Policies from Data
Ekin D. Cubuk, Barret Zoph, Dandelion Mane +2
cs.CVcs.LGstat.MLarXiv:1805.09501v32018
Segmenter: Transformer for Semantic Segmentation
Robin Strudel, Ricardo Garcia, Ivan Laptev +1
cs.CVcs.AIcs.LGarXiv:2105.05633v32021
Kvasir-SEG: A Segmented Polyp Dataset
Debesh Jha, Pia H. Smedsrud, Michael A. Riegler +4
eess.IVcs.CVarXiv:1911.07069v12019
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti, Davide Boscaini, Jonathan Masci +3
cs.CVarXiv:1611.08402v32016
CURV: Enhancing Chart Understanding Through Curriculum Visual Grounded Reasoning
Xuehang Guo, Pingyue Zhang, Ruiyi Zhang +6
cs.CVcs.AIcs.CLarXiv:2608.02833v12026
AMASS: Archive of Motion Capture as Surface Shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje +2
cs.CVcs.GRarXiv:1904.03278v12019
EDITBRIDGE: Towards Faithful and Efficient Ultra-High-Resolution Image Editing
Jiayi Song, Shijie Huang, Fangtai Wu +5
cs.CVarXiv:2608.18063v12026
OSReward: Instituting Standardized Evaluation for Cross-Platform Computer-Use Reward Models
Qiushi Sun, Kanzhi Cheng, Yian Wang +20
cs.AIcs.CLcs.CVarXiv:2607.28609v22026
Beacon: Knowing When and How to Perform Agentic Visual Reasoning
Qixun Wang, Yang Shi, Letian Cheng +11
cs.CVarXiv:2607.28595v12026
PolicyShiftGuard: Benchmarking and Improving Policy-Adaptive Image Guardrails
Mingyang Song, Luxin Xu, Haoyu Sun +3
cs.CVcs.AIcs.CLarXiv:2607.05910v12026
Apple-$π$: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence
Runmao Yao, Kairui Hu, Yukang Cao +11
cs.CVarXiv:2607.16401v12026
MeanFlowNFT: Bringing Forward-Process RL to Average-Velocity Generators
Yushi Huang, Xiangxin Zhou, Jun Zhang +2
cs.CVcs.LGarXiv:2607.15273v22026
RefGC-SR$^2$: Reference-guided Super-Resolution and Refinement of AI Generated Content
Jeahun Sung, Dahyeon Kye, Soo Ye Kim +1
cs.CVarXiv:2606.15158v22026
MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation
Yujie Wei, Yujin Han, Zhekai Chen +20
cs.CVarXiv:2605.20183v42026
Deep multi-scale video prediction beyond mean square error
Michael Mathieu, Camille Couprie, Yann LeCun
cs.LGcs.CVstat.MLarXiv:1511.05440v62015
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Kristen Grauman, Andrew Westbury, Eugene Byrne +82
cs.CVcs.AIarXiv:2110.07058v32021
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
Tao Xu, Pengchuan Zhang, Qiuyuan Huang +4
cs.CVarXiv:1711.10485v12017
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
Longhui Wei, Shiliang Zhang, Wen Gao +1
cs.CVarXiv:1711.08565v22017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini, David Wagner
cs.LGcs.CRcs.CVarXiv:1705.07263v22017
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection
Xiang Li, Wenhai Wang, Lijun Wu +5
cs.CVarXiv:2006.04388v12020
Natural Adversarial Examples
Dan Hendrycks, Kevin Zhao, Steven Basart +2
cs.LGcs.CVstat.MLarXiv:1907.07174v42019
BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers
Zhiqi Li, Wenhai Wang, Hongyang Li +5
cs.CVarXiv:2203.17270v22022
Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks
Ioannis D. Apostolopoulos, Tzani Bessiana
eess.IVcs.CVcs.LGarXiv:2003.11617v12020
Ensemble deep learning: A review
M. A. Ganaie, Minghui Hu, A. K. Malik +2
cs.LGcs.AIcs.CVarXiv:2104.02395v32021
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey
Longlong Jing, Yingli Tian
cs.CVarXiv:1902.06162v12019
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee +1
cs.CVarXiv:1711.02257v42017
PaintBench: Deterministic Evaluation of Precise Visual Editing
Kai Xu, Ellis Brown, Shrikar Madhu +3
cs.GRcs.CVcs.LGarXiv:2606.00188v12026
Relational Knowledge Distillation
Wonpyo Park, Dongju Kim, Yan Lu +1
cs.CVcs.LGarXiv:1904.05068v22019
SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes
Tianhui Liu, Jie Feng, Zhiheng Zheng +6
cs.CVcs.AIcs.CLarXiv:2605.31148v12026
Stacked Attention Networks for Image Question Answering
Zichao Yang, Xiaodong He, Jianfeng Gao +2
cs.LGcs.CLcs.CVarXiv:1511.02274v22015
Deep Mutual Learning
Ying Zhang, Tao Xiang, Timothy M. Hospedales +1
cs.CVarXiv:1706.00384v12017

Computer Vision and Pattern Recognition

PraNet: Parallel Reverse Attention Network for Polyp Segmentation

Evaluating Object Hallucination in Large Vision-Language Models

Lumos-Nexus: Efficient Frequency Bridging with Homogeneous Latent Space for Video Unified Models

DenseFuse: A Fusion Approach to Infrared and Visible Images

Deep learning in remote sensing: a review

Focal and Efficient IOU Loss for Accurate Bounding Box Regression

Cascade R-CNN: High Quality Object Detection and Instance Segmentation

SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence

Image Transformer

How can embedding models bind concepts?

Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

PointConv: Deep Convolutional Networks on 3D Point Clouds

Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments

Learning from Simulated and Unsupervised Images through Adversarial Training

Linear Scaling Video VLMs for Long Video Understanding

Count Anything

DecMem: Towards Minute-Long Consistent World Generation with Decoupled Memory

3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction

Task-Focused Memorization for Multimodal Agents

Function2Scene: 3D Indoor Scene Layout from Functional Specifications

NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections

Understanding Convolution for Semantic Segmentation

StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement

Learning Spatially Regularized Correlation Filters for Visual Tracking

Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks

ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders

Understanding Neural Networks Through Deep Visualization

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

FFA-Net: Feature Fusion Attention Network for Single Image Dehazing

AutoAugment: Learning Augmentation Policies from Data

Segmenter: Transformer for Semantic Segmentation

Kvasir-SEG: A Segmented Polyp Dataset

Geometric deep learning on graphs and manifolds using mixture model CNNs

CURV: Enhancing Chart Understanding Through Curriculum Visual Grounded Reasoning

AMASS: Archive of Motion Capture as Surface Shapes

EDITBRIDGE: Towards Faithful and Efficient Ultra-High-Resolution Image Editing

OSReward: Instituting Standardized Evaluation for Cross-Platform Computer-Use Reward Models

Beacon: Knowing When and How to Perform Agentic Visual Reasoning

PolicyShiftGuard: Benchmarking and Improving Policy-Adaptive Image Guardrails

Apple-$π$: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence

MeanFlowNFT: Bringing Forward-Process RL to Average-Velocity Generators

RefGC-SR$^2$: Reference-guided Super-Resolution and Refinement of AI Generated Content

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation

Deep multi-scale video prediction beyond mean square error

Ego4D: Around the World in 3,000 Hours of Egocentric Video

AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

Person Transfer GAN to Bridge Domain Gap for Person Re-Identification

Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

Natural Adversarial Examples

BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers

Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks

Ensemble deep learning: A review

Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey

GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks

PaintBench: Deterministic Evaluation of Precise Visual Editing

Relational Knowledge Distillation

SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes

Stacked Attention Networks for Image Question Answering

Deep Mutual Learning