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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Bin-Bin Gao, Xiu-Shen Wei, Jianxin Wu |
| 2015 |
| arxiv 1504.05277 |
| What Can I Do Around Here? Deep Functional Scene Understanding for Cognitive Robots | Chengxi Ye, Yezhou Yang, Cornelia Fermuller | 2016 | arxiv 1602.00032 |
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| Compact Bilinear Pooling | Yang Gao, Oscar Beijbom, Ning Zhang | 2015 | arxiv 1511.06062 |
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| Deep Learning Representation using Autoencoder for 3D Shape Retrieval | Zhuotun Zhu, Xinggang Wang, Song Bai | 2014 | arxiv 1409.7164 |
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| Multi-scale recognition with DAG-CNNs | Songfan Yang, Deva Ramanan | 2015 | arxiv 1505.05232 |
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| Auxiliary Image Regularization for Deep CNNs with Noisy Labels | Samaneh Azadi, Jiashi Feng, Stefanie Jegelka | 2015 | arxiv 1511.07069 |
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| Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations | Peter J. Schüffler, Judy Sarungbam, Hassan Muhammad | 2016 | arxiv 1608.00842 |
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| Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition | César Roberto de Souza, Adrien Gaidon, Eleonora Vig | 2016 | arxiv 1608.07138 |
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| Spatio-Temporal Attention Models for Grounded Video Captioning | Mihai Zanfir, Elisabeta Marinoiu, Cristian Sminchisescu | 2016 | arxiv 1610.04997 |
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| Optimization on Submanifolds of Convolution Kernels in CNNs | Mete Ozay, Takayuki Okatani | 2016 | arxiv 1610.07008 |
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