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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Dongqiangzi Ye, Weijia Chen, Zixiang Zhou |
| 2022 |
| arxiv 2206.11428 |
| Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving Images | Lei Sun, Kailun Yang, Xinxin Hu | 2020 | arxiv 2002.10570 |
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| Deep Deterministic Uncertainty for Semantic Segmentation | Jishnu Mukhoti, Joost van Amersfoort, Philip H.S. Torr | 2021 | arxiv 2111.00079 |
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| An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions | Sercan Türkmen, Janne Heikkilä | 2019 | arxiv 1902.07476 |
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| Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment | Tashnim Chowdhury, Maryam Rahnemoonfar | 2021 | arxiv 2105.14540 |
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| Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways | Weikai Tan, Nannan Qin, Lingfei Ma | 2020 | arxiv 2003.08284 |
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| Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge Baseline | Jasmin Breitenstein, Tim Fingscheidt | 2022 | arxiv 2206.00527 |
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| An Access Control Method with Secret Key for Semantic Segmentation Models | Teru Nagamori, Ryota Iijima, Hitoshi Kiya | 2022 | arxiv 2208.13135 |
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| On the calibration of underrepresented classes in LiDAR-based semantic segmentation | Mariella Dreissig, Florian Piewak, Joschka Boedecker | 2022 | arxiv 2210.06811 |
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| Memory-based Semantic Segmentation for Off-road Unstructured Natural Environments | Youngsaeng Jin, David K. Han, Hanseok Ko | 2021 | arxiv 2108.05635 |
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| Transferring CLIP's Knowledge into Zero-Shot Point Cloud Semantic Segmentation | Yuanbin Wang, Shaofei Huang, Yulu Gao | 2023 | arxiv 2312.07221 |
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