Computer Vision and Pattern Recognition

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18,061 to 18,120 of 18,837

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
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp +2
cs.CVarXiv:1606.06650v12016
Two-Stream Convolutional Networks for Action Recognition in Videos
Karen Simonyan, Andrew Zisserman
cs.CVarXiv:1406.2199v22014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
cs.CVarXiv:1312.6034v22013
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
Forrest N. Iandola, Song Han, Matthew W. Moskewicz +3
cs.CVcs.AIarXiv:1602.07360v42016
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin +1
cs.CVarXiv:1707.01083v22017
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li, Dongxu Li, Silvio Savarese +1
cs.CVarXiv:2301.12597v32023
Wide Residual Networks
Sergey Zagoruyko, Nikos Komodakis
cs.CVcs.LGcs.NEarXiv:1605.07146v42016
A ConvNet for the 2020s
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu +3
cs.CVarXiv:2201.03545v22022
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie, Wenhai Wang, Zhiding Yu +3
cs.CVcs.LGarXiv:2105.15203v32021
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol +2
cs.CVarXiv:2204.06125v12022
iMaC: Translating Actions into Motion and Contact Images for Embodied World Models
Zhenyu Wu, Xiuwei Xu, Yukun Zhou +8
cs.ROcs.CVarXiv:2606.09813v12026
Surflo: Consistent 3D Surface Flow Model with Global State
Antoine Guédon, Shu Nakamura, Nicolas Dufour +3
cs.CVarXiv:2606.13644v12026
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron, Hugo Touvron, Ishan Misra +4
cs.CVarXiv:2104.14294v22021
MoVerse: Real-Time Video World Modeling with Panoramic Gaussian Scaffold
Yang Zhou, Ziheng Wang, Yuqin Lu +4
cs.CVarXiv:2606.13376v22026
Searching for MobileNetV3
Andrew Howard, Mark Sandler, Grace Chu +9
cs.CVarXiv:1905.02244v52019
Training data-efficient image transformers & distillation through attention
Hugo Touvron, Matthieu Cord, Matthijs Douze +3
cs.CVarXiv:2012.12877v22020
Hierarchical Data Selection via Manifold Coverage and Sparse Feature Coverage in LLM Post-training
Peng Sun, Yi Yang, Antong Zhang +7
cs.LGcs.CVarXiv:2608.16927v12026
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong, Chen Change Loy, Kaiming He +1
cs.CVcs.NEarXiv:1501.00092v32014
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh +1
cs.CVcs.LGeess.IVarXiv:1807.10165v12018
YOLO9000: Better, Faster, Stronger
Joseph Redmon, Ali Farhadi
cs.CVarXiv:1612.08242v12016
MagViT: Interpretable Multi-Magnification Transformers with Patient-Level Model Selection for Breast Histopathology
Nabil Ashab, Soumit Kumar Kundu, Saif Mahmud Parvez +3
eess.IVcs.CVcs.LGarXiv:2608.16959v12026
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Joao Carreira, Andrew Zisserman
cs.CVcs.LGarXiv:1705.07750v32017
Deep Learning Face Attributes in the Wild
Ziwei Liu, Ping Luo, Xiaogang Wang +1
cs.CVarXiv:1411.7766v32014
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi, Zhourong Chen, Hao Wang +3
cs.CVarXiv:1506.04214v22015
VideoMDM: Towards 3D Human Motion Generation From 2D Supervision
Amir Mann, Gal Michael Harari, Merav Keidar +1
cs.LGcs.CVarXiv:2606.13364v12026
InterleaveThinker: Reinforcing Agentic Interleaved Generation
Dian Zheng, Harry Lee, Manyuan Zhang +4
cs.CVarXiv:2606.13679v22026
Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár +1
cs.CVarXiv:1703.06870v32017
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han, Huizi Mao, William J. Dally
cs.CVcs.NEarXiv:1510.00149v52015
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi
cs.CVarXiv:1606.04797v12016
Identity Mappings in Deep Residual Networks
Kaiming He, Xiangyu Zhang, Shaoqing Ren +1
cs.CVcs.LGarXiv:1603.05027v32016
Lymphocyte Mimicry Correction via Region-Level Tissue Reasoning and Unbalanced Optimal Transport
Xiang Li, Yuqi Wang, Casey C. Heirman +2
cs.CVcs.LGarXiv:2608.17151v12026
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen, George Papandreou, Florian Schroff +1
cs.CVarXiv:1706.05587v32017
Non-local Neural Networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta +1
cs.CVarXiv:1711.07971v32017
Visual Instruction Tuning
Haotian Liu, Chunyuan Li, Qingyang Wu +1
cs.CVcs.AIcs.CLarXiv:2304.08485v22023
Learning Deep Features for Discriminative Localization
Bolei Zhou, Aditya Khosla, Agata Lapedriza +2
cs.CVarXiv:1512.04150v12015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Kelvin Xu, Jimmy Ba, Ryan Kiros +5
cs.LGcs.CVarXiv:1502.03044v32015
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao
cs.CVarXiv:2207.02696v12022
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao, Kashif Rasul, Roland Vollgraf
cs.LGcs.CVstat.MLarXiv:1708.07747v22017
Track2View: 4D-Consistent Camera-Controlled Video Generation via Paired 3D Point Tracks
Feng Qiao, Zhaochong An, Zhexiao Xiong +2
cs.CVarXiv:2606.15534v12026
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson, Alexandre Alahi, Li Fei-Fei
cs.CVcs.LGarXiv:1603.08155v12016

Computer Vision and Pattern Recognition

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

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

Two-Stream Convolutional Networks for Action Recognition in Videos

Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Wide Residual Networks

A ConvNet for the 2020s

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

Hierarchical Text-Conditional Image Generation with CLIP Latents

iMaC: Translating Actions into Motion and Contact Images for Embodied World Models

Surflo: Consistent 3D Surface Flow Model with Global State

Emerging Properties in Self-Supervised Vision Transformers

MoVerse: Real-Time Video World Modeling with Panoramic Gaussian Scaffold

Searching for MobileNetV3

Training data-efficient image transformers & distillation through attention

Hierarchical Data Selection via Manifold Coverage and Sparse Feature Coverage in LLM Post-training

Image Super-Resolution Using Deep Convolutional Networks

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

YOLO9000: Better, Faster, Stronger

MagViT: Interpretable Multi-Magnification Transformers with Patient-Level Model Selection for Breast Histopathology

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

Deep Learning Face Attributes in the Wild

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

VideoMDM: Towards 3D Human Motion Generation From 2D Supervision

InterleaveThinker: Reinforcing Agentic Interleaved Generation

Mask R-CNN

Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Identity Mappings in Deep Residual Networks

Lymphocyte Mimicry Correction via Region-Level Tissue Reasoning and Unbalanced Optimal Transport

Rethinking Atrous Convolution for Semantic Image Segmentation

Non-local Neural Networks

Visual Instruction Tuning

Learning Deep Features for Discriminative Localization

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Track2View: 4D-Consistent Camera-Controlled Video Generation via Paired 3D Point Tracks

Perceptual Losses for Real-Time Style Transfer and Super-Resolution