Computer Vision and Pattern Recognition

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27,241 to 27,300 of 27,357

WorldSimBench: Towards Video Generation Models as World Simulators
Yiran Qin, Zhelun Shi, Jiwen Yu +10
cs.CVarXiv:2410.18072v12024
Virtual Worlds as Proxy for Multi-Object Tracking Analysis
Adrien Gaidon, Qiao Wang, Yohann Cabon +1
cs.CVcs.LGcs.NEarXiv:1605.06457v12016
Face X-ray for More General Face Forgery Detection
Lingzhi Li, Jianmin Bao, Ting Zhang +4
cs.CVarXiv:1912.13458v22019
CNN-RNN: A Unified Framework for Multi-label Image Classification
Jiang Wang, Yi Yang, Junhua Mao +3
cs.CVcs.LGcs.NEarXiv:1604.04573v12016
An Analysis of Deep Neural Network Models for Practical Applications
Alfredo Canziani, Adam Paszke, Eugenio Culurciello
cs.CVarXiv:1605.07678v42016
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
Ali Shafahi, W. Ronny Huang, Mahyar Najibi +4
cs.LGcs.CRcs.CVarXiv:1804.00792v22018
VizWiz Grand Challenge: Answering Visual Questions from Blind People
Danna Gurari, Qing Li, Abigale J. Stangl +5
cs.CVcs.CLcs.HCarXiv:1802.08218v42018
Adversarial Patch
Tom B. Brown, Dandelion Mané, Aurko Roy +2
cs.CVarXiv:1712.09665v22017
End-to-End Incremental Learning
Francisco M. Castro, Manuel J. Marín-Jiménez, Nicolás Guil +2
cs.CVarXiv:1807.09536v22018
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi, Yin Cui, Aravind Srinivas +5
cs.CVarXiv:2012.07177v22020
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo +1
cs.CVcs.AIcs.LGarXiv:2104.13921v32021
ResUNet++: An Advanced Architecture for Medical Image Segmentation
Debesh Jha, Pia H. Smedsrud, Michael A. Riegler +4
eess.IVcs.CVarXiv:1911.07067v12019
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir, Alexander Sax, William Shen +3
cs.CVcs.AIcs.LGarXiv:1804.08328v12018
VideoBERT: A Joint Model for Video and Language Representation Learning
Chen Sun, Austin Myers, Carl Vondrick +2
cs.CVcs.AIarXiv:1904.01766v22019
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
Qingsong Yang, Pingkun Yan, Yanbo Zhang +5
cs.CVarXiv:1708.00961v22017
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu, Zhongqi Miao, Xiaohang Zhan +3
cs.CVcs.LGarXiv:1904.05160v22019
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Loic Landrieu, Martin Simonovsky
cs.CVcs.LGcs.NEarXiv:1711.09869v22017
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification
Justin Salamon, Juan Pablo Bello
cs.SDcs.CVcs.LGarXiv:1608.04363v22016
Zero-Shot Learning Through Cross-Modal Transfer
Richard Socher, Milind Ganjoo, Hamsa Sridhar +3
cs.CVcs.LGarXiv:1301.3666v22013
Receptive Field Block Net for Accurate and Fast Object Detection
Songtao Liu, Di Huang, Yunhong Wang
cs.CVarXiv:1711.07767v32017
Minimalist Visual Inertial Odometry
Francesco Pasti, Jeremy Klotz, Nicola Bellotto +1
cs.ROcs.CVcs.LGarXiv:2605.19990v12026
IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools
Rongbin Tan, Fangfang Lin, Zhenlong Yuan +10
cs.CVarXiv:2605.20682v12026
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
Surat Teerapittayanon, Bradley McDanel, H. T. Kung
cs.NEcs.CVcs.LGarXiv:1709.01686v12017
Generating Videos with Scene Dynamics
Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
cs.CVcs.GRcs.LGarXiv:1609.02612v32016
Injecting Image Guidance into Text-Conditioned Diffusion Models at Inference
Agata Żywot, Iason Skylitsis, Thijmen Nijdam +4
cs.CVarXiv:2605.25191v12026
Benchmarking Composed Image Retrieval for Applied Earth Observation
Bill Psomas, Dionysis Christopoulos, Thanasis Petropoulos +6
cs.CVarXiv:2605.24442v12026
Rethinking VLM Representation for VLA Initialization
Weifeng Lin, Siyuan Huang, Hao Li +5
cs.CVarXiv:2605.25802v12026
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
Simon Jégou, Michal Drozdzal, David Vazquez +2
cs.CVarXiv:1611.09326v32016
JLT: Clean-Latent Prediction in Latent Diffusion Transformers
Funing Fu, Tenghui Wang, Guanyu Zhou +2
cs.CVcs.LGarXiv:2605.27102v22026
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
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Dmitry Kalashnikov, Alex Irpan, Peter Pastor +8
cs.LGcs.AIcs.CVarXiv:1806.10293v32018
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
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
Golnaz Ghiasi, Tsung-Yi Lin, Ruoming Pang +1
cs.CVcs.LGarXiv:1904.07392v12019
Zero-1-to-3: Zero-shot One Image to 3D Object
Ruoshi Liu, Rundi Wu, Basile Van Hoorick +3
cs.CVcs.GRcs.ROarXiv:2303.11328v12023
Prior Availability in Industrial Visual Sim-to-Real: A Review of CAD-Guided and CAD-Unavailable Regimes
Chenxi Tao, Seung-Kyum Choi
cs.CVcs.AIcs.ROarXiv:2605.30581v22026
LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
Christoph Schuhmann, Richard Vencu, Romain Beaumont +6
cs.CVcs.CLcs.LGarXiv:2111.02114v12021
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
Hang Zhang, Xin Li, Lidong Bing
cs.CLcs.CVcs.SDarXiv:2306.02858v42023
Understanding Convolution for Semantic Segmentation
Panqu Wang, Pengfei Chen, Ye Yuan +4
cs.CVarXiv:1702.08502v32017
Kvasir-SEG: A Segmented Polyp Dataset
Debesh Jha, Pia H. Smedsrud, Michael A. Riegler +4
eess.IVcs.CVarXiv:1911.07069v12019
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
Training-Free Multi-Concept LoRA Composition with Prompt-Aware Weighting
Georgios Tsoumplekas, Stella Bounareli, Vasileios Argyriou
cs.CVcs.LGarXiv:2606.03792v12026
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
Shifeng Zhang, Cheng Chi, Yongqiang Yao +2
cs.CVarXiv:1912.02424v42019
Learning Face Representation from Scratch
Dong Yi, Zhen Lei, Shengcai Liao +1
cs.CVarXiv:1411.7923v12014
Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark
Ke Li, Gang Wan, Gong Cheng +2
cs.CVarXiv:1909.00133v22019
Multi-Stage Progressive Image Restoration
Syed Waqas Zamir, Aditya Arora, Salman Khan +4
cs.CVarXiv:2102.02808v22021
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
Seungjun Nah, Tae Hyun Kim, Kyoung Mu Lee
cs.CVarXiv:1612.02177v22016
Continual Learning with Deep Generative Replay
Hanul Shin, Jung Kwon Lee, Jaehong Kim +1
cs.AIcs.CVcs.LGarXiv:1705.08690v32017
CvT: Introducing Convolutions to Vision Transformers
Haiping Wu, Bin Xiao, Noel Codella +4
cs.CVarXiv:2103.15808v12021
Big Self-Supervised Models are Strong Semi-Supervised Learners
Ting Chen, Simon Kornblith, Kevin Swersky +2
cs.LGcs.CVstat.MLarXiv:2006.10029v22020
Road Extraction by Deep Residual U-Net
Zhengxin Zhang, Qingjie Liu, Yunhong Wang
cs.CVarXiv:1711.10684v12017
Deformable ConvNets v2: More Deformable, Better Results
Xizhou Zhu, Han Hu, Stephen Lin +1
cs.CVarXiv:1811.11168v22018
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Fisher Yu, Ari Seff, Yinda Zhang +3
cs.CVarXiv:1506.03365v32015
Albumentations: fast and flexible image augmentations
Alexander Buslaev, Alex Parinov, Eugene Khvedchenya +2
cs.CVarXiv:1809.06839v12018
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation
Huimin Huang, Lanfen Lin, Ruofeng Tong +6
eess.IVcs.CVcs.LGarXiv:2004.08790v12020
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
Carole H Sudre, Wenqi Li, Tom Vercauteren +2
cs.CVarXiv:1707.03237v32017
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie, Minh-Thang Luong, Eduard Hovy +1
cs.LGcs.CVstat.MLarXiv:1911.04252v42019
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen, Rob Fergus
cs.CVarXiv:1411.4734v42014
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch, Abhinav Gupta, Alexei A. Efros
cs.CVarXiv:1505.05192v32015
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
cs.CVarXiv:1610.02357v32016
Stable-Layers: Fine-Tuning Image Layer Decomposition Models with VLM-Scored Reinforcement Learning
Ciara Rowles, Reshinth Adithyan, Nikhil Pinnaparaju +2
cs.CVarXiv:2605.30257v12026

Computer Vision and Pattern Recognition

WorldSimBench: Towards Video Generation Models as World Simulators

Virtual Worlds as Proxy for Multi-Object Tracking Analysis

Face X-ray for More General Face Forgery Detection

CNN-RNN: A Unified Framework for Multi-label Image Classification

An Analysis of Deep Neural Network Models for Practical Applications

Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks

VizWiz Grand Challenge: Answering Visual Questions from Blind People

Adversarial Patch

End-to-End Incremental Learning

Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation

Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

ResUNet++: An Advanced Architecture for Medical Image Segmentation

Taskonomy: Disentangling Task Transfer Learning

VideoBERT: A Joint Model for Video and Language Representation Learning

Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss

Large-Scale Long-Tailed Recognition in an Open World

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

Zero-Shot Learning Through Cross-Modal Transfer

Receptive Field Block Net for Accurate and Fast Object Detection

Minimalist Visual Inertial Odometry

IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools

BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks

Generating Videos with Scene Dynamics

Injecting Image Guidance into Text-Conditioned Diffusion Models at Inference

Benchmarking Composed Image Retrieval for Applied Earth Observation

Rethinking VLM Representation for VLA Initialization

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation

JLT: Clean-Latent Prediction in Latent Diffusion Transformers

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

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

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

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection

Zero-1-to-3: Zero-shot One Image to 3D Object

Prior Availability in Industrial Visual Sim-to-Real: A Review of CAD-Guided and CAD-Unavailable Regimes

LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

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

Understanding Convolution for Semantic Segmentation

Kvasir-SEG: A Segmented Polyp Dataset

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

Training-Free Multi-Concept LoRA Composition with Prompt-Aware Weighting

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

Learning Face Representation from Scratch

Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark

Multi-Stage Progressive Image Restoration

Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring

Continual Learning with Deep Generative Replay

CvT: Introducing Convolutions to Vision Transformers

Big Self-Supervised Models are Strong Semi-Supervised Learners

Road Extraction by Deep Residual U-Net

Deformable ConvNets v2: More Deformable, Better Results

LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Albumentations: fast and flexible image augmentations

UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations

Self-training with Noisy Student improves ImageNet classification

Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture

Unsupervised Visual Representation Learning by Context Prediction

Xception: Deep Learning with Depthwise Separable Convolutions

Stable-Layers: Fine-Tuning Image Layer Decomposition Models with VLM-Scored Reinforcement Learning