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Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications

Apr 26, 2019
Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli

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Screen Content Image Segmentation Using Robust Regression and Sparse Decomposition

Jul 08, 2016
Shervin Minaee, Yao Wang

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A^2Net: Adjacent Aggregation Networks for Image Raindrop Removal

Nov 24, 2018
Huangxing Lin, Xueyang Fu, Changxing Jing, Xinghao Ding, Yue Huang

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Task-Aware Variational Adversarial Active Learning

Feb 11, 2020
Kwanyoung Kim, Dongwon Park, Kwang In Kim, Se Young Chun

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Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions

Jun 23, 2016
Devis Tuia, Rémi Flamary, Nicolas Courty

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Circle Loss: A Unified Perspective of Pair Similarity Optimization

Feb 25, 2020
Yifan Sun, Changmao Cheng, Yuhan Zhang, Chi Zhang, Liang Zheng, Zhongdao Wang, Yichen Wei

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Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation

Nov 23, 2019
Chaowei Fang, Guanbin Li, Chengwei Pan, Yiming Li, Yizhou Yu

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Domain-independent Dominance of Adaptive Methods

Dec 04, 2019
Pedro Savarese, David McAllester, Sudarshan Babu, Michael Maire

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When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation

Jun 12, 2019
Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie Harmon, Baris Turkbey, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu

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Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Nov 23, 2019
Robin M. Schmidt

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