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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
Improved Training for Self-Training by Confidence AssessmentsGal Hyams, Daniel Greenfeld, Dor Bank2017arxiv 1710.00209
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic SegmentationHuikai Wu, Junge Zhang, Kaiqi Huang2019arxiv 1903.11816
AdvSPADE: Realistic Unrestricted Attacks for Semantic SegmentationGuangyu Shen, Chengzhi Mao, Junfeng Yang2019arxiv 1910.02354
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language TasksWenhui Wang, Hangbo Bao, Li Dong2022arxiv 2208.10442
GSANet: Semantic Segmentation with Global and Selective AttentionQingfeng Liu, Mostafa El-Khamy, Dongwoon Bai2020arxiv 2003.00830
VHASR: A Multimodal Speech Recognition System With Vision HotwordsJiliang Hu, Zuchao Li, Ping Wang2024arxiv 2410.00822
Understanding Multi-Granularity for Open-Vocabulary Part SegmentationJiho Choi, Seonho Lee, Seungho Lee2024arxiv 2406.11384
Gated Path Selection Network for Semantic SegmentationQichuan Geng, Hong Zhang, Xiaojuan Qi2020arxiv 2001.06819
A Unified View of Masked Image ModelingZhiliang Peng, Li Dong, Hangbo Bao2022arxiv 2210.10615
SAMCLR: Contrastive pre-training on complex scenes using SAM for view samplingBenjamin Missaoui, Chongbin Yuan2023arxiv 2310.14736
Recalling Holistic Information for Semantic SegmentationHexiang Hu, Zhiwei Deng, Guang-tong Zhou2016arxiv 1611.08061
Improving Fully Convolution Network for Semantic SegmentationBing Shuai, Ting Liu, Gang Wang2016arxiv 1611.08986
Dense Recurrent Neural Networks for Scene LabelingHeng Fan, Haibin Ling2018arxiv 1801.06831
Skip-Attention: Improving Vision Transformers by Paying Less AttentionShashanka Venkataramanan, Amir Ghodrati, Yuki M. Asano2023arxiv 2301.02240
Certified Defences Against Adversarial Patch Attacks on Semantic SegmentationMaksym Yatsura, Kaspar Sakmann, N. Grace Hua2022arxiv 2209.05980
Seeing Through Clutter: Structured 3D Scene Reconstruction via Iterative Object RemovalRio Aguina-Kang, Kevin James Blackburn-Matzen, Thibault Groueix2026arxiv 2602.04053
Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive LearningJishnu Mukhoti, Tsung-Yu Lin, Omid Poursaeed2022arxiv 2212.04994
Open-Vocabulary Universal Image Segmentation with MaskCLIPZheng Ding, Jieke Wang, Zhuowen Tu2022arxiv 2208.08984
Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct?Ping Luo, Zhanglin Peng, Jiamin Ren2018arxiv 1811.07727
Pretraining is All You Need for Image-to-Image TranslationTengfei Wang, Ting Zhang, Bo Zhang2022arxiv 2205.12952