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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Ionut Cosmin Duta, Li Liu, Fan Zhu |
| 2020 |
| arxiv 2006.11538 |
| A Holistically-Guided Decoder for Deep Representation Learning with Applications to Semantic Segmentation and Object Detection | Jianbo Liu, Sijie Ren, Yuanjie Zheng | 2020 | arxiv 2012.10162 |
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| Rethinking Semantic Segmentation: A Prototype View | Tianfei Zhou, Wenguan Wang, Ender Konukoglu | 2022 | arxiv 2203.15102 |
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| ViT-Split: Unleashing the Power of Vision Foundation Models via Efficient Splitting Heads | Yifan Li, Xin Li, Tianqin Li | 2025 | arxiv 2506.03433 |
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| Multi-Scale Representations by Varying Window Attention for Semantic Segmentation | Haotian Yan, Ming Wu, Chuang Zhang | 2024 | arxiv 2404.16573 |
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| MUSTER: A Multi-scale Transformer-based Decoder for Semantic Segmentation | Jing Xu, Wentao Shi, Pan Gao | 2022 | arxiv 2211.13928 |
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| Double Similarity Distillation for Semantic Image Segmentation | Yingchao Feng, Xian Sun, Wenhui Diao | 2021 | arxiv 2107.08591 |
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| A Training-Free Framework for Open-Vocabulary Image Segmentation and Recognition with EfficientNet and CLIP | Ying Dai, Wei Yu Chen | 2025 | arxiv 2510.19333 |
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| AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing | Qi Song, Kangfu Mei, Rui Huang | 2021 | arxiv 2103.05930 |
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| CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation | Zekang Zhang, Guangyu Gao, Jianbo Jiao | 2023 | arxiv 2310.06368 |
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