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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Recurrent Models of Visual Attention | Volodymyr Mnih, Nicolas Heess, Alex Graves | 2014 | arxiv 1406.6247 |
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| Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature extraction methods | Alexander Freytag, Johannes Rühle, Paul Bodesheim | 2014 | arxiv 1408.4692 |
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| Image Retrieval And Classification Using Local Feature Vectors | Vikas Verma | 2014 | arxiv 1409.0749 |
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| Do More Dropouts in Pool5 Feature Maps for Better Object Detection | Zhiqiang Shen, Xiangyang Xue | 2014 | arxiv 1409.6911 |
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| Half-CNN: A General Framework for Whole-Image Regression | Jun Yuan, Bingbing Ni, Ashraf A.Kassim | 2014 | arxiv 1412.6885 |
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| A comparison of dense region detectors for image search and fine-grained classification | Ahmet Iscen, Giorgos Tolias, Philippe-Henri Gosselin | 2014 | arxiv 1410.8151 |
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| Exploiting Image-trained CNN Architectures for Unconstrained Video Classification | Shengxin Zha, Florian Luisier, Walter Andrews | 2015 | arxiv 1503.04144 |
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| Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks | Efstratios Gavves, Thomas Mensink, Tatiana Tommasi | 2015 | arxiv 1510.01544 |
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| Neural NILM: Deep Neural Networks Applied to Energy Disaggregation | Jack Kelly, William Knottenbelt | 2015 | arxiv 1507.06594 |
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| A study of the effect of JPG compression on adversarial images | Gintare Karolina Dziugaite, Zoubin Ghahramani, Daniel M. Roy | 2016 | arxiv 1608.00853 |
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