SOTA2 Research · papers

Papers for “ade20k”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

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20 indexed

Title	Authors	Year	Source
Img2Vec: A Teacher of High Token-Diversity Helps Masked AutoEncoders	Heng Pan, Chenyang Liu, Wenxiao Wang	2023	arxiv 2304.12535
Multi-scale Attention U-Net (MsAUNet): A Modified U-Net Architecture for Scene Segmentation	Soham Chattopadhyay, Hritam Basak	2020	arxiv 2009.06911
LID 2020: The Learning from Imperfect Data Challenge Results	Yunchao Wei, Shuai Zheng, Ming-Ming Cheng	2020	arxiv 2010.11724
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation	Yangxin Wu, Gengwei Zhang, Hang Xu	2020	arxiv 2010.16119
Inception Transformer	Chenyang Si, Weihao Yu, Pan Zhou	2022	arxiv 2205.12956
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models	Xuhong Li, Haoyi Xiong, Yi Liu	2022	arxiv 2207.03335
ReCLIP++: Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation	Jingyun Wang, Guoliang Kang	2024	arxiv 2408.06747
Vision Transformers: From Semantic Segmentation to Dense Prediction	Li Zhang, Jiachen Lu, Sixiao Zheng	2022	arxiv 2207.09339
Modeling the Label Distributions for Weakly-Supervised Semantic Segmentation	Linshan Wu, Zhun Zhong, Jiayi Ma	2024	arxiv 2403.13225
Vision Transformer with Super Token Sampling	Huaibo Huang, Xiaoqiang Zhou, Jie Cao	2022	arxiv 2211.11167
Evolved Hierarchical Masking for Self-Supervised Learning