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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Zilong Huang, Xinggang Wang, Yunchao Wei |
| 2018 |
| arxiv 1811.11721 |
| Semantic Segmentation with Active Semi-Supervised Learning | Aneesh Rangnekar, Christopher Kanan, Matthew Hoffman | 2022 | arxiv 2203.10730 |
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| OVeNet: Offset Vector Network for Semantic Segmentation | Stamatis Alexandropoulos, Christos Sakaridis, Petros Maragos | 2023 | arxiv 2303.14516 |
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| TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation | Rui Gong, Martin Danelljan, Dengxin Dai | 2021 | arxiv 2109.04813 |
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| LoG-CAN: local-global Class-aware Network for semantic segmentation of remote sensing images | Xiaowen Ma, Mengting Ma, Chenlu Hu | 2023 | arxiv 2303.07747 |
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| Weakly-supervised Semantic Segmentation via Dual-stream Contrastive Learning of Cross-image Contextual Information | Qi Lai, Chi-Man Vong | 2024 | arxiv 2405.04913 |
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| Class-level Multiple Distributions Representation are Necessary for Semantic Segmentation | Jianjian Yin, Zhichao Zheng, Yanhui Gu | 2023 | arxiv 2303.08029 |
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| Access Control of Semantic Segmentation Models Using Encrypted Feature Maps | Hiroki Ito, AprilPyone MaungMaung, Sayaka Shiota | 2022 | arxiv 2206.05422 |
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| Design of Real-time Semantic Segmentation Decoder for Automated Driving | Arindam Das, Saranya Kandan, Senthil Yogamani | 2019 | arxiv 1901.06580 |
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| Synergy Between Semantic Segmentation and Image Denoising via Alternate Boosting | Shunxin Xu, Ke Sun, Dong Liu | 2021 | arxiv 2102.12095 |
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