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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Pol Labarbarie, Adrien Chan-Hon-Tong, Stéphane Herbin |
| 2022 |
| arxiv 2212.05827 |
| LaMPP: Language Models as Probabilistic Priors for Perception and Action | Belinda Z. Li, William Chen, Pratyusha Sharma | 2023 | arxiv 2302.02801 |
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| Improving Translation Invariance in Convolutional Neural Networks with Peripheral Prediction Padding | Kensuke Mukai, Takao Yamanaka | 2023 | arxiv 2307.07725 |
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| Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding | Roozbeh Mottaghi, Sanja Fidler, Alan Yuille | 2014 | arxiv 1406.3906 |
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| Houdini: Fooling Deep Structured Prediction Models | Moustapha Cisse, Yossi Adi, Natalia Neverova | 2017 | arxiv 1707.05373 |
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| Matterport3D: Learning from RGB-D Data in Indoor Environments | Angel Chang, Angela Dai, Thomas Funkhouser | 2017 | arxiv 1709.06158 |
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| Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation | Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante | 2017 | arxiv 1711.01468 |
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| ConvNet Architecture Search for Spatiotemporal Feature Learning | Du Tran, Jamie Ray, Zheng Shou | 2017 | arxiv 1708.05038 |
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| ChainerCV: a Library for Deep Learning in Computer Vision | Yusuke Niitani, Toru Ogawa, Shunta Saito | 2017 | arxiv 1708.08169 |
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| Object cosegmentation using deep Siamese network | Prerana Mukherjee, Brejesh Lall, Snehith Lattupally | 2018 | arxiv 1803.02555 |
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