SOTA2 Research · papers

Papers for “ade20k”

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

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Title	Authors	Year	Source
AS-MLP: An Axial Shifted MLP Architecture for Vision	Dongze Lian, Zehao Yu, Xing Sun	2021	arxiv 2107.08391
Siamese Image Modeling for Self-Supervised Vision Representation Learning	Chenxin Tao, Xizhou Zhu, Weijie Su	2022	arxiv 2206.01204
Head-Free Lightweight Semantic Segmentation with Linear Transformer	Bo Dong, Pichao Wang, Fan Wang	2023	arxiv 2301.04648
Deep Incubation: Training Large Models by Divide-and-Conquering	Zanlin Ni, Yulin Wang, Jiangwei Yu	2022	arxiv 2212.04129
Dynamic-structured Semantic Propagation Network	Xiaodan Liang, Hongfei Zhou, Eric Xing	2018	arxiv 1803.06067
Revisiting Continual Semantic Segmentation with Pre-trained Vision Models	Duzhen Zhang, Yong Ren, Wei Cong	2025	arxiv 2508.04267
Adapting LLaMA Decoder to Vision Transformer	Jiahao Wang, Wenqi Shao, Mengzhao Chen	2024	arxiv 2404.06773
MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic Segmentation	Beoungwoo Kang, Seunghun Moon, Yubin Cho	2024	arxiv 2408.07576
Learning Mask-aware CLIP Representations for Zero-Shot Segmentation	Siyu Jiao, Yunchao Wei, Yaowei Wang	2023	arxiv 2310.00240
A Novel Upsampling and Context Convolution for Image Semantic Segmentation	Khwaja Monib Sediqi, Hyo Jong Lee	2021	arxiv 2103.11110
Securing Neural Networks with Knapsack Optimization