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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Denoised Non-Local Neural Network for Semantic Segmentation | Qi Song, Jie Li, Hao Guo | 2021 | arxiv 2110.14200 |
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| Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention | Sitong Wu, Tianyi Wu, Haoru Tan | 2021 | arxiv 2112.14000 |
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| Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation | Shubhankar Borse, Hyojin Park, Hong Cai | 2022 | arxiv 2204.05370 |
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| Panoptic Edge Detection | Yuan Hu, Yingtian Zou, Jiashi Feng | 2019 | arxiv 1906.00590 |
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| An Empirical Study of Multimodal Model Merging | Yi-Lin Sung, Linjie Li, Kevin Lin | 2023 | arxiv 2304.14933 |
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| Mixed Autoencoder for Self-supervised Visual Representation Learning | Kai Chen, Zhili Liu, Lanqing Hong | 2023 | arxiv 2303.17152 |
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| MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation | Kaixin Cai, Pengzhen Ren, Yi Zhu | 2023 | arxiv 2308.04829 |
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| PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution | Honghao Chen, Xiangxiang Chu, Yongjian Ren | 2024 | arxiv 2403.07589 |
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| HIRI-ViT: Scaling Vision Transformer with High Resolution Inputs | Ting Yao, Yehao Li, Yingwei Pan | 2024 | arxiv 2403.11999 |
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| CLIP-DINOiser: Teaching CLIP a few DINO tricks for open-vocabulary semantic segmentation | Monika Wysoczańska, Oriane Siméoni, Michaël Ramamonjisoa | 2023 | arxiv 2312.12359 |
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