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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Semantic Implicit Neural Scene Representations With Semi-Supervised Training | Amit Kohli, Vincent Sitzmann, Gordon Wetzstein | 2020 | arxiv 2003.12673 |
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| DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments | Chao Yu, Zuxin Liu, Xinjun Liu | 2018 | arxiv 1809.08379 |
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| Convolutional Temporal Attention Model for Video-based Person Re-identification | Tanzila Rahman, Mrigank Rochan, Yang Wang | 2019 | arxiv 1904.04492 |
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| Adversarial Examples Versus Cloud-based Detectors: A Black-box Empirical Study | Xurong Li, Shouling Ji, Meng Han | 2019 | arxiv 1901.01223 |
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| SegSort: Segmentation by Discriminative Sorting of Segments | Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi | 2019 | arxiv 1910.06962 |
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| Mumford-Shah Loss Functional for Image Segmentation with Deep Learning | Boah Kim, Jong Chul Ye | 2019 | arxiv 1904.02872 |
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| SoftGroup for 3D Instance Segmentation on Point Clouds | Thang Vu, Kookhoi Kim, Tung M. Luu | 2022 | arxiv 2203.01509 |
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| DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation | Xuedou Xiao, Juecheng Zhang, Wei Wang | 2022 | arxiv 2203.14481 |
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| ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation | Samayan Bhattacharya, Sk Shahnawaz, Avigyan Bhattacharya | 2022 | arxiv 2206.05225 |
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| Group-On: Boosting One-Shot Segmentation with Supportive Query | Hanjing Zhou, Mingze Yin, Danny Chen | 2024 | arxiv 2404.11871 |
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