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"Image": models, code, and papers
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Privacy-Preserving Object Detection & Localization Using Distributed Machine Learning: A Case Study of Infant Eyeblink Conditioning

Oct 14, 2020
Stefan Zwaard, Henk-Jan Boele, Hani Alers, Christos Strydis, Casey Lew-Williams, Zaid Al-Ars

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Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein

Oct 05, 2020
Khai Nguyen, Son Nguyen, Nhat Ho, Tung Pham, Hung Bui

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HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification

Aug 11, 2020
R. M. Saad Bashir, Talha Qaiser, Shan E Ahmed Raza, Nasir M. Rajpoot

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Margin-Based Regularization and Selective Sampling in Deep Neural Networks

Sep 13, 2020
Berry Weinstein, Shai Fine, Yacov Hel-Or

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On The Usage Of Average Hausdorff Distance For Segmentation Performance Assessment: Hidden Bias When Used For Ranking

Sep 13, 2020
Orhun Utku Aydin, Abdel Aziz Taha, Adam Hilbert, Ahmed A. Khalil, Ivana Galinovic, Jochen B. Fiebach, Dietmar Frey, Vince Istvan Madai

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Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization

Aug 03, 2020
Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang

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Simulation of Brain Resection for Cavity Segmentation Using Self-Supervised and Semi-Supervised Learning

Jun 28, 2020
Fernando Pérez-García, Roman Rodionov, Ali Alim-Marvasti, Rachel Sparks, John S. Duncan, Sébastien Ourselin

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Brain Tumor Segmentation by Cascaded Deep Neural Networks Using Multiple Image Scales

Feb 05, 2020
Zahra Sobhaninia, Safiyeh Rezaei, Nader Karimi, Ali Emami, Shadrokh Samavi

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Image reconstruction with imperfect forward models and applications in deblurring

Oct 23, 2017
Yury Korolev, Jan Lellmann

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Maximum Entropy Regularization and Chinese Text Recognition

Jul 09, 2020
Changxu Cheng, Wuheng Xu, Xiang Bai, Bin Feng, Wenyu Liu

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