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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Tao Chen, Yazhou Yao, Jinhui Tang |
| 2023 |
| arxiv 2305.05154 |
| ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation | Youngmin Oh, Donghyeon Baek, Bumsub Ham | 2022 | arxiv 2210.06816 |
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| A Network Structure to Explicitly Reduce Confusion Errors in Semantic Segmentation | Qichuan Geng, Xinyu Huang, Zhong Zhou | 2018 | arxiv 1808.00313 |
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| Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation | Haobin Tan, Chang Chen, Xinyu Luo | 2021 | arxiv 2108.07007 |
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| The Hessigheim 3D (H3D) Benchmark on Semantic Segmentation of High-Resolution 3D Point Clouds and Textured Meshes from UAV LiDAR and Multi-View-Stereo | Michael Kölle, Dominik Laupheimer, Stefan Schmohl | 2021 | arxiv 2102.05346 |
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| Pseudo-Label Noise Suppression Techniques for Semi-Supervised Semantic Segmentation | Sebastian Scherer, Robin Schön, Rainer Lienhart | 2022 | arxiv 2210.10426 |
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| Unsupervised semantic segmentation of urban high-density multispectral point clouds | Oona Oinonen, Lassi Ruoppa, Josef Taher | 2024 | arxiv 2410.18520 |
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| Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation | Valerio Marsocci, Simone Scardapane | 2022 | arxiv 2205.11319 |
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| Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic Segmentation | Tong Shen, Dong Gong, Wei Zhang | 2019 | arxiv 1907.12282 |
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| Open-world Point Cloud Semantic Segmentation: A Human-in-the-loop Framework | Peng Zhang, Songru Yang, Jinsheng Sun | 2025 | arxiv 2508.04962 |
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| Few-shot Class-Incremental Semantic Segmentation via Pseudo-Labeling and Knowledge Distillation | Chengjia Jiang, Tao Wang, Sien Li | 2023 | arxiv 2308.02790 |
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