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
Shape Bias and Robustness Evaluation via Cue Decomposition for Image Classification and Segmentation	Edgar Heinert, Thomas Gottwald, Annika Mütze	2025	arxiv 2503.12453
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding	Thanh-Dat Truong, Utsav Prabhu, Bhiksha Raj	2023	arxiv 2311.15965
Foveated Instance Segmentation	Hongyi Zeng, Wenxuan Liu, Tianhua Xia	2025	arxiv 2503.21854
Spectral-Adaptive Modulation Networks for Visual Perception	Guhnoo Yun, Juhan Yoo, Kijung Kim	2025	arxiv 2503.23947
Learning Statistical Texture for Semantic Segmentation	Lanyun Zhu, Deyi Ji, Shiping Zhu	2021	arxiv 2103.04133
Unifying conditional and unconditional semantic image synthesis with OCO-GAN	Marlène Careil, Stéphane Lathuilière, Camille Couprie	2022	arxiv 2211.14105
IncepFormer: Efficient Inception Transformer with Pyramid Pooling for Semantic Segmentation	Lihua Fu, Haoyue Tian, Xiangping Bryce Zhai	2022	arxiv 2212.03035
ClusterFormer: Clustering As A Universal Visual Learner	James C. Liang, Yiming Cui, Qifan Wang	2023	arxiv 2309.13196
SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation	Zhengze Xu, Dongyue Wu, Changqian Yu	2023	arxiv 2312.17071
Beyond Forward Shortcuts: Fully Convolutional Master-Slave Networks (MSNets) with Backward Skip Connections for Semantic Segmentation	Abrar H. Abdulnabi, Stefan Winkler, Gang Wang