Computer Vision and Pattern Recognition

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18,001 to 18,060 of 18,817

Kwai Keye-VL-2.0 Technical Report
Kwai Keye Team, Bin Wen, Changyi Liu +50
cs.CVarXiv:2606.10651v12026
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama +1
cs.LGcs.CVstat.MLarXiv:1802.05957v12018
FedCoRe: Target-Adaptive Completion for Missing Modalities in Healthcare Federated Learning
Holger R. Roth, Ziyue Xu, Peter Cnudde
cs.CVcs.AIcs.LGarXiv:2608.18311v12026
Coordinate Attention for Efficient Mobile Network Design
Qibin Hou, Daquan Zhou, Jiashi Feng
cs.CVarXiv:2103.02907v12021
TTSD-FAR: Test-Time Self-Distillation with Fisher-Anchored Restoration for Missing-Modality Emotion Recognition in LVLMs
Muhammad Haseeb Aslam, Alessandro Koerich, Marco Pedersoli +2
cs.CVcs.AIarXiv:2608.18386v12026
Exploring Simple Siamese Representation Learning
Xinlei Chen, Kaiming He
cs.CVcs.LGarXiv:2011.10566v12020
Reroute, Don't Remove: Recoverable Visual Token Routing for Vision-Language Models
Cheng-Yu Yang, Shao-Yuan Lo, Yu-Lun Liu
cs.CVcs.AIarXiv:2606.12412v12026
Deep High-Resolution Representation Learning for Human Pose Estimation
Ke Sun, Bin Xiao, Dong Liu +1
cs.CVarXiv:1902.09212v12019
Dynamic Routing Between Capsules
Sara Sabour, Nicholas Frosst, Geoffrey E Hinton
cs.CVarXiv:1710.09829v22017
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Dustin Podell, Zion English, Kyle Lacey +5
cs.CVcs.AIarXiv:2307.01952v12023
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos +2
cs.CVcs.LGcs.NEarXiv:1412.7062v42014
Visual-Prompt Guided Wildlife Instance-Level Recognition
Mufhumudzi Muthivhi, Jiahao Huo, Terence van Zyl +1
cs.CVcs.AIcs.LGarXiv:2608.18246v12026
YOLOv10: Real-Time End-to-End Object Detection
Ao Wang, Hui Chen, Lihao Liu +4
cs.CVarXiv:2405.14458v22024
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu +13
cs.CVcs.AIcs.LGarXiv:2210.08402v12022
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
Yulun Zhang, Kunpeng Li, Kai Li +3
cs.CVarXiv:1807.02758v22018
Improved Baselines with Visual Instruction Tuning
Haotian Liu, Chunyuan Li, Yuheng Li +1
cs.CVcs.AIcs.CLarXiv:2310.03744v22023
Adversarial Discriminative Domain Adaptation
Eric Tzeng, Judy Hoffman, Kate Saenko +1
cs.CVarXiv:1702.05464v12017
Bound-Aware Per-Organ Recall Risk Control for Multi-Organ CT Segmentation under Clinical Domain Shift
Souraj Adhikary, Negar Chabi, Andre Mastmeyer
cs.CVcs.AIcs.LGarXiv:2608.18193v12026
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard
cs.LGcs.CVarXiv:1511.04599v32015
Stacked Hourglass Networks for Human Pose Estimation
Alejandro Newell, Kaiyu Yang, Jia Deng
cs.CVarXiv:1603.06937v22016
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
Sijie Yan, Yuanjun Xiong, Dahua Lin
cs.CVarXiv:1801.07455v22018
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Xun Huang, Serge Belongie
cs.CVarXiv:1703.06868v22017
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna, Wojciech Zaremba, Arthur Szlam +1
cs.LGcs.CVcs.NEarXiv:1312.6203v32013
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu, Taesung Park, Phillip Isola +1
cs.CVarXiv:1703.10593v72017
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia, Yinfei Yang, Ye Xia +7
cs.CVcs.CLcs.LGarXiv:2102.05918v22021
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu, Zhenhua Wang, Jason Kuen +9
cs.CVcs.LGcs.NEarXiv:1512.07108v62015
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi, Jose Caballero, Ferenc Huszár +5
cs.CVstat.MLarXiv:1609.05158v22016
Billion-scale similarity search with GPUs
Jeff Johnson, Matthijs Douze, Hervé Jégou
cs.CVcs.DBcs.DSarXiv:1702.08734v12017
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
Angela Dai, Angel X. Chang, Manolis Savva +3
cs.CVarXiv:1702.04405v22017
Learning without Forgetting
Zhizhong Li, Derek Hoiem
cs.CVcs.LGstat.MLarXiv:1606.09282v32016
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak +3
cs.CVcs.AIcs.LGarXiv:1902.09630v22019
Deep Visual-Semantic Alignments for Generating Image Descriptions
Andrej Karpathy, Li Fei-Fei
cs.CVarXiv:1412.2306v22014
YOLOX: Exceeding YOLO Series in 2021
Zheng Ge, Songtao Liu, Feng Wang +2
cs.CVarXiv:2107.08430v22021
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun, Dongyoon Han, Seong Joon Oh +3
cs.CVcs.LGarXiv:1905.04899v22019
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
Jieneng Chen, Yongyi Lu, Qihang Yu +6
cs.CVarXiv:2102.04306v12021
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang, Thomas Funkhouser, Leonidas Guibas +10
cs.GRcs.AIcs.CGarXiv:1512.03012v12015
Scalable Diffusion Models with Transformers
William Peebles, Saining Xie
cs.CVcs.LGarXiv:2212.09748v22022
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph, Vijay Vasudevan, Jonathon Shlens +1
cs.CVcs.LGstat.MLarXiv:1707.07012v42017
Cascade R-CNN: Delving into High Quality Object Detection
Zhaowei Cai, Nuno Vasconcelos
cs.CVarXiv:1712.00726v12017
Flamingo: a Visual Language Model for Few-Shot Learning
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc +24
cs.CVcs.AIcs.LGarXiv:2204.14198v22022
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Qilong Wang, Banggu Wu, Pengfei Zhu +3
cs.CVarXiv:1910.03151v42019
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach +4
cs.CVarXiv:1411.4389v42014
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall, Yarin Gal
cs.CVarXiv:1703.04977v22017
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma, Xiangyu Zhang, Hai-Tao Zheng +1
cs.CVarXiv:1807.11164v12018
Show and Tell: A Neural Image Caption Generator
Oriol Vinyals, Alexander Toshev, Samy Bengio +1
cs.CVarXiv:1411.4555v22014
Zero-Shot Text-to-Image Generation
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh +5
cs.CVcs.LGarXiv:2102.12092v22021
Network In Network
Min Lin, Qiang Chen, Shuicheng Yan
cs.NEcs.CVcs.LGarXiv:1312.4400v32013
Deformable Convolutional Networks
Jifeng Dai, Haozhi Qi, Yuwen Xiong +4
cs.CVarXiv:1703.06211v32017
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla +2
cs.LGcs.AIcs.CVarXiv:1711.03938v12017
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee
cs.CVcs.LGarXiv:1511.04587v22015
Path Aggregation Network for Instance Segmentation
Shu Liu, Lu Qi, Haifang Qin +2
cs.CVarXiv:1803.01534v42018
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras, Samuli Laine, Miika Aittala +3
cs.CVcs.LGcs.NEarXiv:1912.04958v22019
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li, Dongxu Li, Caiming Xiong +1
cs.CVarXiv:2201.12086v22022
EfficientDet: Scalable and Efficient Object Detection
Mingxing Tan, Ruoming Pang, Quoc V. Le
cs.CVcs.LGeess.IVarXiv:1911.09070v72019
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
Khurram Soomro, Amir Roshan Zamir, Mubarak Shah
cs.CVarXiv:1212.0402v12012
Enhanced Deep Residual Networks for Single Image Super-Resolution
Bee Lim, Sanghyun Son, Heewon Kim +2
cs.CVarXiv:1707.02921v12017
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang, Anyi Rao, Maneesh Agrawala
cs.CVcs.AIcs.GRarXiv:2302.05543v32023
Learning both Weights and Connections for Efficient Neural Networks
Song Han, Jeff Pool, John Tran +1
cs.NEcs.CVcs.LGarXiv:1506.02626v32015
Spatial Transformer Networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman +1
cs.CVarXiv:1506.02025v32015
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu, Weijie Su, Lewei Lu +3
cs.CVarXiv:2010.04159v42020

Computer Vision and Pattern Recognition

Kwai Keye-VL-2.0 Technical Report

Spectral Normalization for Generative Adversarial Networks

FedCoRe: Target-Adaptive Completion for Missing Modalities in Healthcare Federated Learning

Coordinate Attention for Efficient Mobile Network Design

TTSD-FAR: Test-Time Self-Distillation with Fisher-Anchored Restoration for Missing-Modality Emotion Recognition in LVLMs

Exploring Simple Siamese Representation Learning

Reroute, Don't Remove: Recoverable Visual Token Routing for Vision-Language Models

Deep High-Resolution Representation Learning for Human Pose Estimation

Dynamic Routing Between Capsules

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

Visual-Prompt Guided Wildlife Instance-Level Recognition

YOLOv10: Real-Time End-to-End Object Detection

LAION-5B: An open large-scale dataset for training next generation image-text models

Image Super-Resolution Using Very Deep Residual Channel Attention Networks

Improved Baselines with Visual Instruction Tuning

Adversarial Discriminative Domain Adaptation

Bound-Aware Per-Organ Recall Risk Control for Multi-Organ CT Segmentation under Clinical Domain Shift

DeepFool: a simple and accurate method to fool deep neural networks

Stacked Hourglass Networks for Human Pose Estimation

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Spectral Networks and Locally Connected Networks on Graphs

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Recent Advances in Convolutional Neural Networks

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

Billion-scale similarity search with GPUs

ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes

Learning without Forgetting

Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

Deep Visual-Semantic Alignments for Generating Image Descriptions

YOLOX: Exceeding YOLO Series in 2021

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

ShapeNet: An Information-Rich 3D Model Repository

Scalable Diffusion Models with Transformers

Learning Transferable Architectures for Scalable Image Recognition

Cascade R-CNN: Delving into High Quality Object Detection

Flamingo: a Visual Language Model for Few-Shot Learning

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

Long-term Recurrent Convolutional Networks for Visual Recognition and Description

What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design

Show and Tell: A Neural Image Caption Generator

Zero-Shot Text-to-Image Generation

Network In Network

Deformable Convolutional Networks

CARLA: An Open Urban Driving Simulator

Accurate Image Super-Resolution Using Very Deep Convolutional Networks

Path Aggregation Network for Instance Segmentation

Analyzing and Improving the Image Quality of StyleGAN

BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

EfficientDet: Scalable and Efficient Object Detection

UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Enhanced Deep Residual Networks for Single Image Super-Resolution

Adding Conditional Control to Text-to-Image Diffusion Models

Learning both Weights and Connections for Efficient Neural Networks

Spatial Transformer Networks

Deformable DETR: Deformable Transformers for End-to-End Object Detection