Image and Video Processing

Papers filed under eess.IV on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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1,561 to 1,620 of 1,903

Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation
Ehsan Khodapanah Aghdam, Reza Azad, Maral Zarvani +1
eess.IVcs.CVcs.LGarXiv:2210.16898v12022
SwinIR: Image Restoration Using Swin Transformer
Jingyun Liang, Jiezhang Cao, Guolei Sun +3
eess.IVcs.CVarXiv:2108.10257v12021
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
Yuanfeng Ji, Haotian Bai, Jie Yang +8
eess.IVcs.CVcs.LGarXiv:2206.08023v32022
R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network
Jiang Hai, Zhu Xuan, Songchen Han +4
cs.CVeess.IVarXiv:2106.14501v22021
SEN12MS-CR-TS: A Remote Sensing Data Set for Multi-modal Multi-temporal Cloud Removal
Patrick Ebel, Yajin Xu, Michael Schmitt +1
cs.CVeess.IVarXiv:2201.09613v12022
Deep Learning Based Brain Tumor Segmentation: A Survey
Zhihua Liu, Lei Tong, Zheheng Jiang +6
eess.IVcs.CVarXiv:2007.09479v32020
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels
Chu Han, Jiatai Lin, Jinhai Mai +15
eess.IVcs.CVq-bio.QMarXiv:2110.08048v12021
Physics-based Noise Modeling for Extreme Low-light Photography
Kaixuan Wei, Ying Fu, Yinqiang Zheng +1
eess.IVcs.CVarXiv:2108.02158v12021
VoxelContext-Net: An Octree based Framework for Point Cloud Compression
Zizheng Que, Guo Lu, Dong Xu
cs.CVeess.IVarXiv:2105.02158v12021
Disentangling Light Fields for Super-Resolution and Disparity Estimation
Yingqian Wang, Longguang Wang, Gaochang Wu +4
eess.IVcs.CVarXiv:2202.10603v52022
Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation
Hasib Zunair, A. Ben Hamza
eess.IVcs.CVarXiv:2107.12461v12021
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang +3
eess.IVcs.CVcs.LGarXiv:2201.01266v12022
Unsupervised Domain Adaptation in Semantic Segmentation: a Review
Marco Toldo, Andrea Maracani, Umberto Michieli +1
cs.CVcs.LGeess.IVarXiv:2005.10876v12020
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
Alessa Hering, Lasse Hansen, Tony C. W. Mok +50
eess.IVcs.CVarXiv:2112.04489v32021
Local Texture Estimator for Implicit Representation Function
Jaewon Lee, Kyong Hwan Jin
cs.CVeess.IVarXiv:2111.08918v62021
Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control
Mingyu Yang, Hun-Seok Kim
eess.SPcs.LGeess.IVarXiv:2110.04456v12021
Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation
Yao Zhang, Jiawei Yang, Jiang Tian +4
eess.IVcs.CVarXiv:2107.09842v12021
Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation
Neerav Karani, Ertunc Erdil, Krishna Chaitanya +1
eess.IVcs.CVcs.LGarXiv:2004.04668v42020
GANs for Medical Image Synthesis: An Empirical Study
Youssef Skandarani, Pierre-Marc Jodoin, Alain Lalande
eess.IVcs.CVcs.LGarXiv:2105.05318v22021
Quantifying vegetation biophysical variables from imaging spectroscopy data: a review on retrieval methods
Jochem Verrelst, Zbyněk Malenovský, Christiaan Van der Tol +5
q-bio.QMeess.IVarXiv:2012.04555v12020
UNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath +5
eess.IVcs.CVcs.LGarXiv:2103.10504v32021
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks
Richard J. Chen, Ming Y. Lu, Muhammad Shaban +4
eess.IVcs.CVq-bio.TOarXiv:2107.13048v12021
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities
Tongxue Zhou, Stéphane Canu, Pierre Vera +1
eess.IVcs.CVarXiv:2104.06231v22021
Self-Correction for Human Parsing
Peike Li, Yunqiu Xu, Yunchao Wei +1
cs.CVcs.LGeess.IVarXiv:1910.09777v12019
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning
Hammam Alshazly, Christoph Linse, Erhardt Barth +1
eess.IVcs.CVarXiv:2011.05317v12020
VisualVoice: Audio-Visual Speech Separation with Cross-Modal Consistency
Ruohan Gao, Kristen Grauman
cs.CVcs.SDeess.IVarXiv:2101.03149v22021
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Yuezun Li, Xin Yang, Pu Sun +2
cs.CRcs.CVeess.IVarXiv:1909.12962v42019
Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization
Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir +8
eess.IVcs.CVarXiv:2007.14895v12020
A Survey on Instance Segmentation: State of the art
Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat
cs.CVcs.LGeess.IVarXiv:2007.00047v12020
Flow-based Kernel Prior with Application to Blind Super-Resolution
Jingyun Liang, Kai Zhang, Shuhang Gu +2
cs.CVeess.IVarXiv:2103.15977v12021
Big Self-Supervised Models Advance Medical Image Classification
Shekoofeh Azizi, Basil Mustafa, Fiona Ryan +9
eess.IVcs.CVcs.LGarXiv:2101.05224v22021
EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery Classification
Ce Zhang, Young-Keun Kim, Azim Eskandarian
eess.SPcs.HCcs.LGarXiv:2101.10932v32021
Deep Learning for Chest X-ray Analysis: A Survey
Ecem Sogancioglu, Erdi Çallı, Bram van Ginneken +2
eess.IVcs.CVarXiv:2103.08700v12021
Spectral DiffuserCam: lensless snapshot hyperspectral imaging with a spectral filter array
Kristina Monakhova, Kyrollos Yanny, Neerja Aggarwal +1
eess.IVcs.CVphysics.opticsarXiv:2006.08565v22020
Use HiResCAM instead of Grad-CAM for faithful explanations of convolutional neural networks
Rachel Lea Draelos, Lawrence Carin
eess.IVcs.CVcs.LGarXiv:2011.08891v42020
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification
Zhuo Zheng, Yanfei Zhong, Ailong Ma +1
cs.CVeess.IVarXiv:2011.05670v12020
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation
Debesh Jha, Michael A. Riegler, Dag Johansen +2
eess.IVcs.CVarXiv:2006.04868v22020
YouTube UGC Dataset for Video Compression Research
Yilin Wang, Sasi Inguva, Balu Adsumilli
cs.MMeess.IVarXiv:1904.06457v22019
Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time
Hui Zeng, Jianrui Cai, Lida Li +2
eess.IVcs.CVarXiv:2009.14468v12020
Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks
Jiawen Yao, Xinliang Zhu, Jitendra Jonnagaddala +2
eess.IVcs.CVarXiv:2009.11169v12020
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
Christoph Baur, Stefan Denner, Benedikt Wiestler +2
eess.IVcs.CVcs.LGarXiv:2004.03271v22020
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
Zewen Li, Wenjie Yang, Shouheng Peng +1
cs.CVcs.LGeess.IVarXiv:2004.02806v12020
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images
Gianluca Maguolo, Loris Nanni
eess.IVcs.CVcs.LGarXiv:2004.12823v42020
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images
Hayden Gunraj, Linda Wang, Alexander Wong
eess.IVcs.CVcs.LGarXiv:2009.05383v12020
SpaceNet 6: Multi-Sensor All Weather Mapping Dataset
Jacob Shermeyer, Daniel Hogan, Jason Brown +8
eess.IVcs.CVarXiv:2004.06500v12020
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction
Changhee Han, Leonardo Rundo, Kohei Murao +7
cs.CVcs.LGeess.IVarXiv:2007.13559v22020
Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani +3
eess.IVcs.LGarXiv:2006.12229v12020
PraNet: Parallel Reverse Attention Network for Polyp Segmentation
Deng-Ping Fan, Ge-Peng Ji, Tao Zhou +4
eess.IVcs.CVarXiv:2006.11392v42020
Unpaired Learning of Deep Image Denoising
Xiaohe Wu, Ming Liu, Yue Cao +2
eess.IVcs.CVarXiv:2008.13711v12020
Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction
J. D. Bodapati, N. Veeranjaneyulu, S. N. Shareef +4
eess.IVcs.CVcs.LGarXiv:2006.00197v12020
Automatic Crack Detection on Road Pavements Using Encoder Decoder Architecture
Zhun Fan, Chong Li, Ying Chen +4
cs.CVcs.LGeess.IVarXiv:2007.00477v12020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos +6
cs.CVeess.IVarXiv:2008.09104v22020
HookNet: multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images
Mart van Rijthoven, Maschenka Balkenhol, Karina Siliņa +2
eess.IVcs.CVcs.LGarXiv:2006.12230v12020
Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
Yiqun Mei, Yuchen Fan, Yuqian Zhou +3
cs.CVcs.LGeess.IVarXiv:2006.01424v12020
Temperate Fish Detection and Classification: a Deep Learning based Approach
Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen +4
cs.CVcs.LGeess.IVarXiv:2005.07518v12020
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
Ivan Perov, Daiheng Gao, Nikolay Chervoniy +11
cs.CVcs.LGcs.MMarXiv:2005.05535v52020
Deep-learning-enabled geometric constraints and phase unwrapping for single-shot absolute 3D shape measurement
Jiaming Qian, Shijie Feng, Tianyang Tao +4
eess.IVarXiv:2001.01439v22020
A survey of loss functions for semantic segmentation
Shruti Jadon
eess.IVcs.CVcs.LGarXiv:2006.14822v42020
The AVA-Kinetics Localized Human Actions Video Dataset
Ang Li, Meghana Thotakuri, David A. Ross +3
cs.CVcs.LGeess.IVarXiv:2005.00214v22020
AdaptiveWeighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images
Jiaojiao Li, Chaoxiong Wu, Rui Song +2
eess.IVcs.CVarXiv:2005.09305v12020

Image and Video Processing

Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation

SwinIR: Image Restoration Using Swin Transformer

AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network

SEN12MS-CR-TS: A Remote Sensing Data Set for Multi-modal Multi-temporal Cloud Removal

Deep Learning Based Brain Tumor Segmentation: A Survey

Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels

Physics-based Noise Modeling for Extreme Low-light Photography

VoxelContext-Net: An Octree based Framework for Point Cloud Compression

Disentangling Light Fields for Super-Resolution and Disparity Estimation

Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images

Unsupervised Domain Adaptation in Semantic Segmentation: a Review

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

Local Texture Estimator for Implicit Representation Function

Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control

Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation

Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation

GANs for Medical Image Synthesis: An Empirical Study

Quantifying vegetation biophysical variables from imaging spectroscopy data: a review on retrieval methods

UNETR: Transformers for 3D Medical Image Segmentation

Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks

Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities

Self-Correction for Human Parsing

Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning

VisualVoice: Audio-Visual Speech Separation with Cross-Modal Consistency

Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization

A Survey on Instance Segmentation: State of the art

Flow-based Kernel Prior with Application to Blind Super-Resolution

Big Self-Supervised Models Advance Medical Image Classification

EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery Classification

Deep Learning for Chest X-ray Analysis: A Survey

Spectral DiffuserCam: lensless snapshot hyperspectral imaging with a spectral filter array

Use HiResCAM instead of Grad-CAM for faithful explanations of convolutional neural networks

FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification

DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation

YouTube UGC Dataset for Video Compression Research

Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time

Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images

COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images

SpaceNet 6: Multi-Sensor All Weather Mapping Dataset

MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction

Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms

PraNet: Parallel Reverse Attention Network for Polyp Segmentation

Unpaired Learning of Deep Image Denoising

Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction

Automatic Crack Detection on Road Pavements Using Encoder Decoder Architecture

A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises

HookNet: multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images

Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining

Temperate Fish Detection and Classification: a Deep Learning based Approach

DeepFaceLab: Integrated, flexible and extensible face-swapping framework

Deep-learning-enabled geometric constraints and phase unwrapping for single-shot absolute 3D shape measurement

A survey of loss functions for semantic segmentation

The AVA-Kinetics Localized Human Actions Video Dataset

AdaptiveWeighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images