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Enhancing Foreground Boundaries for Medical Image Segmentation

May 29, 2020
Dong Yang, Holger Roth, Xiaosong Wang, Ziyue Xu, Andriy Myronenko, Daguang Xu

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Geometry-Aware Unsupervised Domain Adaptation for Stereo Matching

Mar 26, 2021
Hiroki Sakuma, Yoshinori Konishi

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Artificial Association Neural Networks

Nov 22, 2021
Seokjun Kim, Jaeeun Jang, Hee-seok Jung, Hyeoncheol Kim

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Known Operator Learning and Hybrid Machine Learning in Medical Imaging --- A Review of the Past, the Present, and the Future

Aug 10, 2021
Andreas Maier, Harald Köstler, Marco Heisig, Patrick Krauss, Seung Hee Yang

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EvoBA: An Evolution Strategy as a Strong Baseline forBlack-Box Adversarial Attacks

Jul 12, 2021
Andrei Ilie, Marius Popescu, Alin Stefanescu

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Text-to-Image Synthesis Based on Machine Generated Captions

Oct 09, 2019
Marco Menardi, Alex Falcon, Saida S. Mohamed, Lorenzo Seidenari, Giuseppe Serra, Alberto Del Bimbo, Carlo Tasso

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Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction

Nov 18, 2021
George Yiasemis, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen

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LayoutLM: Pre-training of Text and Layout for Document Image Understanding

Dec 31, 2019
Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou

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M5Product: A Multi-modal Pretraining Benchmark for E-commercial Product Downstream Tasks

Sep 09, 2021
Xiao Dong, Xunlin Zhan, Yangxin Wu, Yunchao Wei, Xiaoyong Wei, Minlong Lu, Xiaodan Liang

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COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression

Nov 18, 2021
Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao

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