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
Visual In-Context Prompting	Feng Li, Qing Jiang, Hao Zhang	2023	arxiv 2311.13601
Fast-iTPN: Integrally Pre-Trained Transformer Pyramid Network with Token Migration	Yunjie Tian, Lingxi Xie, Jihao Qiu	2022	arxiv 2211.12735
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation	Xiong Zhang, Hongmin Xu, Hong Mo	2020	arxiv 2003.11883
CTNet: Context-based Tandem Network for Semantic Segmentation	Zechao Li, Yanpeng Sun, Jinhui Tang	2021	arxiv 2104.09805
CAT: Cross Attention in Vision Transformer	Hezheng Lin, Xing Cheng, Xiangyu Wu	2021	arxiv 2106.05786
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation	Hugo Porta, Emanuele Dalsasso, Diego Marcos	2024	arxiv 2409.09497
MogaNet: Multi-order Gated Aggregation Network	Siyuan Li, Zedong Wang, Zicheng Liu	2022	arxiv 2211.03295
LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision	Anthony Fuller, Yousef Yassin, Junfeng Wen	2025	arxiv 2505.18051
DPF: Learning Dense Prediction Fields with Weak Supervision	Xiaoxue Chen, Yuhang Zheng, Yupeng Zheng	2023	arxiv 2303.16890
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers	Xiaoyi Dong, Jianmin Bao, Ting Zhang	2021	arxiv 2111.12710
AttentionViG: Cross-Attention-Based Dynamic Neighbor Aggregation in Vision GNNs