Loss Functions for Neural Networks for Image Processing

28 November 2015

Hang Zhao

Papers citing "Loss Functions for Neural Networks for Image Processing"

29 / 29 papers shown

Title
Imaging foundation model for universal enhancement of non-ideal measurement CT Yuxin Liu Rongjun Ge Yuting He Zhan Wu Chenyu You Yuan Gao Chenyu You Ge Wang Yang Chen Shuo Li MedIm 29 2 0 02 Oct 2024
Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery Payal Varshney Adriano Lucieri Christoph Balada Andreas Dengel Sheraz Ahmed MedIm DiffM 58 4 0 16 Apr 2024
An Unsupervised Framework for Joint MRI Super Resolution and Gibbs Artifact Removal Yikang Liu Eric Z. Chen Xiao Chen Terrence Chen Shanhui Sun MedIm 40 0 0 06 Feb 2023
Vision Learners Meet Web Image-Text Pairs Bingchen Zhao Quan Cui Hao Wu Osamu Yoshie Cheng Yang Oisin Mac Aodha VLM 37 5 0 17 Jan 2023
Audio Denoising for Robust Audio Fingerprinting Kamil Akesbi 26 3 0 21 Dec 2022
VoloGAN: Adversarial Domain Adaptation for Synthetic Depth Data Sascha Kirch Rafael Pagés Sergio Arnaldo S. Martín GAN 27 2 0 19 Jul 2022
Semi-Supervised Learning with Mutual Distillation for Monocular Depth Estimation Jongbeom Baek Gyeongnyeon Kim Seung Wook Kim FedML MDE 33 12 0 18 Mar 2022
Computing Multiple Image Reconstructions with a Single Hypernetwork Alan Q. Wang Adrian Dalca M. Sabuncu 43 8 0 22 Feb 2022
Attention based Broadly Self-guided Network for Low light Image Enhancement Zilong Chen Yaling Liang Minghui Du 32 1 0 12 Dec 2021
Physics Driven Deep Retinex Fusion for Adaptive Infrared and Visible Image Fusion Yuanjie Gu Zhibo Xiao Yinghan Guan Haoran Dai Cheng Liu Liang Xue Shouyu Wang SupR 17 1 0 06 Dec 2021
SurfaceNet: Adversarial SVBRDF Estimation from a Single Image Giuseppe Vecchio S. Palazzo C. Spampinato GAN 19 37 0 23 Jul 2021
Location-aware Single Image Reflection Removal Zhen Dong Ke Xu Yin Yang Hujun Bao Weiwei Xu Rynson W. H. Lau 27 86 0 13 Dec 2020
Machine Learning in Magnetic Resonance Imaging: Image Reconstruction Javier Montalt-Tordera V. Muthurangu A. Hauptmann J. Steeden AI4CE 29 40 0 09 Dec 2020
Convolutional Autoencoders for Human Motion Infilling Manuel Kaufmann Emre Aksan Mingli Song Fabrizio Pece R. Ziegler Otmar Hilliges 3DH 21 97 0 22 Oct 2020
Improved anomaly detection by training an autoencoder with skip connections on images corrupted with Stain-shaped noise Anne-Sophie Collin Christophe De Vleeschouwer 29 85 0 29 Aug 2020
Efficient and Phase-aware Video Super-resolution for Cardiac MRI Jhih-Yuan Lin Yu-Cheng Chang Winston H. Hsu SupR MedIm 27 10 0 21 May 2020
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction Nicola Pezzotti Sahar Yousefi M. Elmahdy J. V. Gemert C. Schulke ... Sergey Kastryulin B. Lelieveldt M. Osch E. Weerdt Marius Staring 27 97 0 15 Apr 2020
Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning Jeffrey M. Ede 29 12 0 06 Apr 2020
DeepLPF: Deep Local Parametric Filters for Image Enhancement Sean J. Moran Pierre Marza Jingyu Sun Sarah Parisot Greg Slabaugh 25 192 0 31 Mar 2020
Deep Residual Neural Networks for Image in Speech Steganography Shivam Agarwal S. Venkatraman 24 4 0 30 Mar 2020
Model-based Behavioral Cloning with Future Image Similarity Learning Alan Wu A. Piergiovanni Michael S. Ryoo OffRL 34 14 0 08 Oct 2019
Deep-Learning Inversion of Seismic Data Shucai Li Bin Liu Yuxiao Ren Yangkang Chen Senlin Yang Yunhai Wang Peng-Tao Jiang 16 279 0 23 Jan 2019
Single Image Reflection Separation with Perceptual Losses X. Zhang Ren Ng Qifeng Chen 36 316 0 14 Jun 2018
Deep Residual Networks with a Fully Connected Recon-struction Layer for Single Image Super-Resolution Yongliang Tang W. Gong Zhenghao Li Weihong Li SupR 22 9 0 24 May 2018
Enhanced Deep Residual Networks for Single Image Super-Resolution Bee Lim Sanghyun Son Heewon Kim Seungjun Nah Kyoung Mu Lee SupR 64 5,843 0 10 Jul 2017
Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging Jingyu Sun Benjamin Hou Konstantinos Kamnitsas Ozan Oktay A. Alansary M. Rutherford Joseph V. Hajnal Bernhard Kainz 15 46 0 28 Feb 2017
Deeply Aggregated Alternating Minimization for Image Restoration Youngjung Kim Hyungjoo Jung Dongbo Min Kwanghoon Sohn 18 30 0 20 Dec 2016
Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution Jiawei Zhang Jin-shan Pan Wei-Sheng Lai Rynson W. H. Lau Ming-Hsuan Yang 43 161 0 20 Nov 2016
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,640 0 03 Jul 2012