Research

Papers for “ade20k”

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

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	2017	arxiv 1707.05537
XCiT: Cross-Covariance Image Transformers	Alaaeldin El-Nouby, Hugo Touvron, Mathilde Caron	2021	arxiv 2106.09681
Feature boosting with efficient attention for scene parsing	Vivek Singh, Shailza Sharma, Fabio Cuzzolin	2024	arxiv 2402.19250
TextureSAM: Towards a Texture Aware Foundation Model for Segmentation	Inbal Cohen, Boaz Meivar, Peihan Tu	2025	arxiv 2505.16540
Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer	Sainath Dey, Mitul Goswami, Jashika Sethi	2025	arxiv 2505.04740
Next-Embedding Prediction Makes Strong Vision Learners	Sihan Xu, Ziqiao Ma, Wenhao Chai	2025	arxiv 2512.16922
Decorrelation Speeds Up Vision Transformers	Kieran Carrigg, Rob van Gastel, Melda Yeghaian	2025	arxiv 2510.14657
ReGLA: Efficient Receptive-Field Modeling with Gated Linear Attention Network	Junzhou Li, Manqi Zhao, Yilin Gao	2026	arxiv 2602.05262
Locality-Attending Vision Transformer	Sina Hajimiri, Farzad Beizaee, Fereshteh Shakeri	2026	arxiv 2603.04892
TsallisPGD: Adaptive Gradient Weighting for Adversarial Attacks on Semantic Segmentation	Alexander Matyasko, Xin Lou, Indriyati Atmosukarto	2026	arxiv 2605.03405
Zero-Forgetting CISS via Dual-Phase Cognitive Cascades	Yuquan Lu, Yifu Guo, Zishan Xu	2026	arxiv 2603.13874

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