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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Max Curie, Paulo da Costa |
| 2025 |
| arxiv 2509.25016 |
| StructToken : Rethinking Semantic Segmentation with Structural Prior | Fangjian Lin, Zhanhao Liang, Sitong Wu | 2022 | arxiv 2203.12612 |
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| Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation | Zhenxin Lei, Man Yao, Jiakui Hu | 2024 | arxiv 2412.14587 |
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| Semantic Image Synthesis with Semantically Coupled VQ-Model | Stephan Alaniz, Thomas Hummel, Zeynep Akata | 2022 | arxiv 2209.02536 |
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| Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition | Qibin Hou, Cheng-Ze Lu, Ming-Ming Cheng | 2022 | arxiv 2211.11943 |
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| Category Feature Transformer for Semantic Segmentation | Quan Tang, Chuanjian Liu, Fagui Liu | 2023 | arxiv 2308.05581 |
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| PAUMER: Patch Pausing Transformer for Semantic Segmentation | Evann Courdier, Prabhu Teja Sivaprasad, François Fleuret | 2023 | arxiv 2311.00586 |
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| Learning Vision from Models Rivals Learning Vision from Data | Yonglong Tian, Lijie Fan, Kaifeng Chen | 2023 | arxiv 2312.17742 |
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| Semantic Segmentation with Reverse Attention | Qin Huang, Chunyang Xia, Chihao Wu | 2017 | arxiv 1707.06426 |
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| Scene-Aware Urban Design: A Human-AI Recommendation Framework Using Co-Occurrence Embeddings and Vision-Language Models | Rodrigo Gallardo, Oz Fishman, Alexander Htet Kyaw | 2025 | arxiv 2511.06201 |
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