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Papers for “ade20k”

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

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TitleAuthorsYearSource
Mitigating Objectness Bias and Region-to-Text Misalignment for Open-Vocabulary Panoptic SegmentationNikolay Kormushev, Josip Šarić, Matej Kristan2026arxiv 2603.21386
ToaSt: Token Channel Selection and Structured Pruning for Efficient ViTHyunchan Moon, Cheonjun Park, Steven L. Waslander2026arxiv 2602.15720
EMFormer: Efficient Multi-Scale Transformer for Accumulative Context Weather ForecastingHao Chen, Tao Han, Jie Zhang2026arxiv 2602.01194
Object-centric LeJEPAJakob Geusen, Ender Konukoglu2026arxiv 2607.02404
Sparse Attention for Dense Open-Vocabulary Prediction in CLIPFatimah Zohra, Chen Zhao, Shuming Liu2026arxiv 2607.07135
iFAN: Inference-Aware Learning for Plain Mask TransformersFang Li, Yu He, Haoyang Tong2026arxiv 2608.03216
WBMM: Windowed Batch Matrix Multiplication for Efficient Large Receptive Field ConvolutionWan Song, Wei Zhou, Rui Wang2026arxiv 2607.02097
UniNet: Unified Architecture Search with Convolution, Transformer, and MLPJihao Liu, Hongsheng Li, Guanglu Song2021arxiv 2110.04035
Boundary Guided Context Aggregation for Semantic SegmentationHaoxiang Ma, Hongyu Yang, Di Huang2021arxiv 2110.14587
SegFormer: Simple and Efficient Design for Semantic Segmentation with TransformersEnze Xie, Wenhai Wang, Zhiding Yu2021arxiv 2105.15203
SeMask: Semantically Masked Transformers for Semantic SegmentationJitesh Jain, Anukriti Singh, Nikita Orlov2021arxiv 2112.12782
Distance Guided Channel Weighting for Semantic SegmentationXuanyi Liu, Lanyun Zhu, Shiping Zhu2020arxiv 2004.12679
Context Encoding for Semantic SegmentationHang Zhang, Kristin Dana, Jianping Shi2018arxiv 1803.08904
Adaptive Context Network for Scene ParsingJun Fu, Jing Liu, Yuhang Wang2019arxiv 1911.01664
Context Prior for Scene SegmentationChangqian Yu, Jingbo Wang, Changxin Gao2020arxiv 2004.01547
Refining Semantic Segmentation with Superpixel by Transparent Initialization and Sparse EncoderZhiwei Xu, Thalaiyasingam Ajanthan, Richard Hartley2020arxiv 2010.04363
Ada-Segment: Automated Multi-loss Adaptation for Panoptic SegmentationGengwei Zhang, Yiming Gao, Hang Xu2020arxiv 2012.03603
SSN: Learning Sparse Switchable Normalization via SparsestMaxWenqi Shao, Tianjian Meng, Jingyu Li2019arxiv 1903.03793
Self-Training for Class-Incremental Semantic SegmentationLu Yu, Xialei Liu, Joost van de Weijer2020arxiv 2012.03362
Feature Selective Transformer for Semantic Image SegmentationFangjian Lin, Tianyi Wu, Sitong Wu2022arxiv 2203.14124