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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Debasmit Das, C.S. George Lee |
| 2018 |
| arxiv 1805.00355 |
| Energy Efficient Hardware for On-Device CNN Inference via Transfer Learning | Paul Whatmough, Chuteng Zhou, Patrick Hansen | 2018 | arxiv 1812.01672 |
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| Learning Disentangled Representations of Satellite Image Time Series | Eduardo Sanchez, Mathieu Serrurier, Mathias Ortner | 2019 | arxiv 1903.08863 |
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| The LogBarrier adversarial attack: making effective use of decision boundary information | Chris Finlay, Aram-Alexandre Pooladian, Adam M. Oberman | 2019 | arxiv 1903.10396 |
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| A geometry-inspired decision-based attack | Yujia Liu, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard | 2019 | arxiv 1903.10826 |
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| ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network | Sachin Mehta, Mohammad Rastegari, Linda Shapiro | 2018 | arxiv 1811.11431 |
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| Weakly Supervised Object Detection with Segmentation Collaboration | Xiaoyan Li, Meina Kan, Shiguang Shan | 2019 | arxiv 1904.00551 |
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| Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations | Jiwoon Ahn, Sunghyun Cho, Suha Kwak | 2019 | arxiv 1904.05044 |
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| Edge-labeling Graph Neural Network for Few-shot Learning | Jongmin Kim, Taesup Kim, Sungwoong Kim | 2019 | arxiv 1905.01436 |
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| DisplaceNet: Recognising Displaced People from Images by Exploiting Dominance Level | Grigorios Kalliatakis, Shoaib Ehsan, Maria Fasli | 2019 | arxiv 1905.02025 |
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