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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Yongxiang Huang, Albert C. S. Chung |
| 2019 |
| arxiv 1909.07097 |
| MixModule: Mixed CNN Kernel Module for Medical Image Segmentation | Henry H. Yu, Xue Feng, Hao Sun | 2019 | arxiv 1910.08728 |
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| Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches | Kalun Ho, Janis Keuper, Franz-Josef Pfreundt | 2020 | arxiv 2007.03123 |
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| Towards Robust Deep Learning with Ensemble Networks and Noisy Layers | Yuting Liang, Reza Samavi | 2020 | arxiv 2007.01507 |
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| Deep Features Analysis with Attention Networks | Shipeng Xie, Da Chen, Rong Zhang | 2019 | arxiv 1901.10042 |
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| Riemannian joint dimensionality reduction and dictionary learning on symmetric positive definite manifold | Hiroyuki Kasai, Bamdev Mishra | 2019 | arxiv 1902.04186 |
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| State Classification of Cooking Objects Using a VGG CNN | Kyle Mott | 2019 | arxiv 1904.12613 |
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| Directing DNNs Attention for Facial Attribution Classification using Gradient-weighted Class Activation Mapping | Xi Yang, Bojian Wu, Issei Sato | 2019 | arxiv 1905.00593 |
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| SuperCaptioning: Image Captioning Using Two-dimensional Word Embedding | Baohua Sun, Lin Yang, Michael Lin | 2019 | arxiv 1905.10515 |
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| Bayesian Nonparametric Federated Learning of Neural Networks | Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh | 2019 | arxiv 1905.12022 |
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