Computer Vision and Pattern Recognition

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17,941 to 18,000 of 18,820

Instance Normalization: The Missing Ingredient for Fast Stylization
Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky
cs.CVarXiv:1607.08022v32016
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh +3
cs.CVarXiv:1911.11929v12019
Bernstein-Vazirani Networks: Quantum Machine Learning by Interference
Natacha Kuete Meli, Tolga Birdal, Prayag Tiwari +2
quant-phcs.AIcs.CVarXiv:2608.19043v12026
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng, Ishan Misra, Alexander G. Schwing +2
cs.CVcs.AIcs.LGarXiv:2112.01527v32021
FiLM: Visual Reasoning with a General Conditioning Layer
Ethan Perez, Florian Strub, Harm de Vries +2
cs.CVcs.AIcs.CLarXiv:1709.07871v22017
GhostNet: More Features from Cheap Operations
Kai Han, Yunhe Wang, Qi Tian +3
cs.CVarXiv:1911.11907v22019
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao
cs.CVarXiv:2402.13616v22024
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
Limin Wang, Yuanjun Xiong, Zhe Wang +4
cs.CVarXiv:1608.00859v12016
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall, Yarin Gal, Roberto Cipolla
cs.CVarXiv:1705.07115v32017
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance DeVries, Graham W. Taylor
cs.CVarXiv:1708.04552v22017
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla +22
cs.CVcs.LGstat.MLarXiv:1912.04838v72019
Learning to Prompt for Vision-Language Models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy +1
cs.CVcs.AIcs.LGarXiv:2109.01134v62021
SlowFast Networks for Video Recognition
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik +1
cs.CVarXiv:1812.03982v32018
Detecting Backdoors in Object Detection via Pre-NMS Prediction Distribution Shift
Longtian Wang, Zhengyu Zhao, Chenhao Lin +5
cs.CVcs.AIarXiv:2608.19088v12026
RandAugment: Practical automated data augmentation with a reduced search space
Ekin D. Cubuk, Barret Zoph, Jonathon Shlens +1
cs.CVarXiv:1909.13719v22019
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh, Seunghoon Hong, Bohyung Han
cs.CVarXiv:1505.04366v12015
GS-VLA: Plug-and-Play Viewpoint Canonicalization for Frozen VLA Policies via Gaussian Splatting
Yechan Park, HyunJin Kim
cs.CVcs.AIarXiv:2608.19066v12026
Counterfactual Contrastive Analysis
Yunlong He, Pietro Gori
cs.CVcs.AIarXiv:2608.19032v12026
One-Stage Object Detectors in Autonomous Driving
Jonel Roman, Ryan Sirjue, Peter Nguyen +3
cs.CVcs.AIarXiv:2608.19014v12026
GrabVG: Graph-Attentive Binding for Visual Grounding in UAV Imagery
Chaowei Wang, Yan Di, Jingjun Sun +5
cs.CVcs.AIarXiv:2608.18996v12026
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Yash Goyal, Tejas Khot, Douglas Summers-Stay +2
cs.CVcs.AIcs.CLarXiv:1612.00837v32016
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu +3
cs.CVcs.GRcs.LGarXiv:1711.11585v22017
Taming Transformers for High-Resolution Image Synthesis
Patrick Esser, Robin Rombach, Björn Ommer
cs.CVarXiv:2012.09841v32020
Markerless tracking of user-defined features with deep learning
Alexander Mathis, Pranav Mamidanna, Taiga Abe +4
cs.CVq-bio.NCq-bio.QMarXiv:1804.03142v12018
A Critical Synthesis of Uncertainty Quantification and Foundation Models for Semantic Segmentation
Steven Landgraf, Joceline Hinz, Markus Ulrich
cs.CVcs.AIcs.LGarXiv:2608.18709v12026
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani +3
cs.CVcs.GRcs.LGarXiv:2208.12242v22022
Group Normalization
Yuxin Wu, Kaiming He
cs.CVcs.LGarXiv:1803.08494v32018
Learning-State-Aware Dynamic Generative Data Augmentation on Small-Scale Datasets
Ting Xiang, Chenxi Deng, Jinhui Zhao +4
cs.CVcs.AIarXiv:2608.18907v12026
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks, Kevin Gimpel
cs.NEcs.CVcs.LGarXiv:1610.02136v32016
The Mythos of Model Interpretability
Zachary C. Lipton
cs.LGcs.AIcs.CVarXiv:1606.03490v32016
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
Jiasen Lu, Dhruv Batra, Devi Parikh +1
cs.CVcs.CLarXiv:1908.02265v12019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks, Thomas Dietterich
cs.LGcs.CVstat.MLarXiv:1903.12261v12019
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Yin Zhou, Oncel Tuzel
cs.CVarXiv:1711.06396v12017
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg +6
cs.CVcs.LGarXiv:1504.06852v22015
End to End Learning for Self-Driving Cars
Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski +10
cs.CVcs.LGcs.NEarXiv:1604.07316v12016
A Few Cases Are All You Need: An Empirical Study of Annotation-Efficient LoRA Fine-Tuning of MedSAM3
Sachin Dudda Nagaraju, Bendik Skarre Abrahamsen, Ashkan Moradi +1
cs.CVcs.AIarXiv:2608.18731v12026
PointPillars: Fast Encoders for Object Detection from Point Clouds
Alex H. Lang, Sourabh Vora, Holger Caesar +3
cs.LGcs.CVstat.MLarXiv:1812.05784v22018
The Impact of CutMix on Reliability and Robustness in Semantic Segmentation
Steven Landgraf, Markus Ulrich
cs.CVcs.AIcs.LGarXiv:2608.18715v12026
EfficientNetV2: Smaller Models and Faster Training
Mingxing Tan, Quoc V. Le
cs.CVarXiv:2104.00298v32021
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
David Eigen, Christian Puhrsch, Rob Fergus
cs.CVarXiv:1406.2283v12014
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung, Yongxin Yang, Li Zhang +3
cs.CVarXiv:1711.06025v22017
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon +1
cs.CVarXiv:1603.05279v42016
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Peng Wang, Shuai Bai, Sinan Tan +16
cs.CVcs.AIcs.CLarXiv:2409.12191v22024
GPT-4o System Card
OpenAI, :, Aaron Hurst +417
cs.CLcs.AIcs.CVarXiv:2410.21276v12024
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue, Yangqing Jia, Oriol Vinyals +4
cs.CVarXiv:1310.1531v12013
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Hoo-Chang Shin, Holger R. Roth, Mingchen Gao +6
cs.CVarXiv:1602.03409v12016
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Peter Anderson, Xiaodong He, Chris Buehler +4
cs.CVarXiv:1707.07998v32017
Impact of Iterative Fine-Tuning on Transcription Accuracy in Complex Historical Sanskrit Manuscripts
Kartik Chincholikar, Kaushik Gopalan, Mihir Hasabnis
cs.CVcs.AIarXiv:2608.18696v12026
Simple Online and Realtime Tracking with a Deep Association Metric
Nicolai Wojke, Alex Bewley, Dietrich Paulus
cs.CVarXiv:1703.07402v12017
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn, David Berthelot, Chun-Liang Li +6
cs.LGcs.CVstat.MLarXiv:2001.07685v22020
Composed Historical Image Retrieval by Modeling Temporal Representations
Adrià Molina Rodríguez, Oriol Ramos Terrades, Josep Lladós Canet
cs.CVcs.AIcs.IRarXiv:2608.18694v12026
Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar, Peyton Greenside, Anshul Kundaje
cs.CVcs.LGcs.NEarXiv:1704.02685v22017
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alex Nichol, Prafulla Dhariwal, Aditya Ramesh +5
cs.CVcs.GRcs.LGarXiv:2112.10741v32021
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
Xintao Wang, Ke Yu, Shixiang Wu +6
cs.CVarXiv:1809.00219v22018
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang, Ke Sun, Tianheng Cheng +9
cs.CVarXiv:1908.07919v22019
OmniHandwritingOCR: A Diagnostic Benchmark for Evaluating Multimodal LLMs in Handwritten OCR Scenarios
Zinuo Guo, Min Zhang, Bo Jiang
cs.CVcs.AIarXiv:2608.18586v12026
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl +1
cs.CVcs.LGstat.MLarXiv:1611.07725v22016
SwinIR: Image Restoration Using Swin Transformer
Jingyun Liang, Jiezhang Cao, Guolei Sun +3
eess.IVcs.CVarXiv:2108.10257v12021
CNN Features off-the-shelf: an Astounding Baseline for Recognition
Ali Sharif Razavian, Hossein Azizpour, Josephine Sullivan +1
cs.CVarXiv:1403.6382v32014
Least Squares Generative Adversarial Networks
Xudong Mao, Qing Li, Haoran Xie +3
cs.CVarXiv:1611.04076v32016

Computer Vision and Pattern Recognition

Instance Normalization: The Missing Ingredient for Fast Stylization

CSPNet: A New Backbone that can Enhance Learning Capability of CNN

Bernstein-Vazirani Networks: Quantum Machine Learning by Interference

Masked-attention Mask Transformer for Universal Image Segmentation

FiLM: Visual Reasoning with a General Conditioning Layer

GhostNet: More Features from Cheap Operations

YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

Improved Regularization of Convolutional Neural Networks with Cutout

Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Learning to Prompt for Vision-Language Models

SlowFast Networks for Video Recognition

Detecting Backdoors in Object Detection via Pre-NMS Prediction Distribution Shift

RandAugment: Practical automated data augmentation with a reduced search space

Learning Deconvolution Network for Semantic Segmentation

GS-VLA: Plug-and-Play Viewpoint Canonicalization for Frozen VLA Policies via Gaussian Splatting

Counterfactual Contrastive Analysis

One-Stage Object Detectors in Autonomous Driving

GrabVG: Graph-Attentive Binding for Visual Grounding in UAV Imagery

Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Taming Transformers for High-Resolution Image Synthesis

Markerless tracking of user-defined features with deep learning

A Critical Synthesis of Uncertainty Quantification and Foundation Models for Semantic Segmentation

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Group Normalization

Learning-State-Aware Dynamic Generative Data Augmentation on Small-Scale Datasets

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

The Mythos of Model Interpretability

ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

FlowNet: Learning Optical Flow with Convolutional Networks

End to End Learning for Self-Driving Cars

A Few Cases Are All You Need: An Empirical Study of Annotation-Efficient LoRA Fine-Tuning of MedSAM3

PointPillars: Fast Encoders for Object Detection from Point Clouds

The Impact of CutMix on Reliability and Robustness in Semantic Segmentation

EfficientNetV2: Smaller Models and Faster Training

Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

Learning to Compare: Relation Network for Few-Shot Learning

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

GPT-4o System Card

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Impact of Iterative Fine-Tuning on Transcription Accuracy in Complex Historical Sanskrit Manuscripts

Simple Online and Realtime Tracking with a Deep Association Metric

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Composed Historical Image Retrieval by Modeling Temporal Representations

Learning Important Features Through Propagating Activation Differences

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

Deep High-Resolution Representation Learning for Visual Recognition

OmniHandwritingOCR: A Diagnostic Benchmark for Evaluating Multimodal LLMs in Handwritten OCR Scenarios

iCaRL: Incremental Classifier and Representation Learning

SwinIR: Image Restoration Using Swin Transformer

CNN Features off-the-shelf: an Astounding Baseline for Recognition

Least Squares Generative Adversarial Networks