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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Adversarial Policy Gradient for Deep Learning Image Augmentation | Kaiyang Cheng, Claudia Iriondo, Francesco Calivá | 2019 | arxiv 1909.04108 |
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| Automated Multiclass Cardiac Volume Segmentation and Model Generation | Erik Gaasedelen, Alex Deakyne, Paul Iaizzo | 2019 | arxiv 1909.06685 |
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| Synthetic Data for Deep Learning | Sergey I. Nikolenko | 2019 | arxiv 1909.11512 |
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| Eyenet: Attention based Convolutional Encoder-Decoder Network for Eye Region Segmentation | Priya Kansal, Sabari Nathan | 2019 | arxiv 1910.03274 |
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| Self-Correction for Human Parsing | Peike Li, Yunqiu Xu, Yunchao Wei | 2019 | arxiv 1910.09777 |
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| Switchable Whitening for Deep Representation Learning | Xingang Pan, Xiaohang Zhan, Jianping Shi | 2019 | arxiv 1904.09739 |
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| Weakly Supervised Clustering by Exploiting Unique Class Count | Mustafa Umit Oner, Hwee Kuan Lee, Wing-Kin Sung | 2019 | arxiv 1906.07647 |
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| Selective Segmentation Networks Using Top-Down Attention | Mahdi Biparva, John Tsotsos | 2020 | arxiv 2002.01125 |
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| Learning Hyperspectral Feature Extraction and Classification with ResNeXt Network | Divinah Nyasaka, Jing Wang, Haron Tinega | 2020 | arxiv 2002.02585 |
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| Deep Fusion of Local and Non-Local Features for Precision Landslide Recognition | Qing Zhu, Lin Chen, Han Hu | 2020 | arxiv 2002.08547 |
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