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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Dan Barnes, Will Maddern, Ingmar Posner |
| 2016 |
| arxiv 1610.01238 |
| Learning to Cluster for Proposal-Free Instance Segmentation | Yen-Chang Hsu, Zheng Xu, Zsolt Kira | 2018 | arxiv 1803.06459 |
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| Normalized Cut Loss for Weakly-supervised CNN Segmentation | Meng Tang, Abdelaziz Djelouah, Federico Perazzi | 2018 | arxiv 1804.01346 |
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| Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform | Xintao Wang, Ke Yu, Chao Dong | 2018 | arxiv 1804.02815 |
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| Complex Relations in a Deep Structured Prediction Model for Fine Image Segmentation | Cristina Mata, Guy Ben-Yosef, Boris Katz | 2018 | arxiv 1805.09462 |
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| Robust 6D Object Pose Estimation with Stochastic Congruent Sets | Chaitanya Mitash, Abdeslam Boularias, Kostas Bekris | 2018 | arxiv 1805.06324 |
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| DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objects | Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber | 2018 | arxiv 1804.00525 |
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| Multi-Scale Fully Convolutional Network for Cardiac Left Ventricle Segmentation | Han Kang, Defeng Chen | 2018 | arxiv 1809.10203 |
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| Edge and Corner Detection for Unorganized 3D Point Clouds with Application to Robotic Welding | Syeda Mariam Ahmed, Yan Zhi Tan, Chee Meng Chew | 2018 | arxiv 1809.10468 |
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| CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images | Dennis Eschweiler, Thiago V. Spina, Rohan C. Choudhury | 2018 | arxiv 1810.06933 |
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