SOTA2 Research · papers

Papers for “semantic segmentation”

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20 indexed

Title	Authors	Year	Source
Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather	Junsung Park, Kyungmin Kim, Hyunjung Shim	2024	arxiv 2407.02286
Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding	Quande Liu, Youpeng Wen, Jianhua Han	2022	arxiv 2207.08455
Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic Segmentation	Siyu Chen, Ting Han, Chengzheng Fu	2025	arxiv 2506.09881
Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach	Qing Lian, Fengmao Lv, Lixin Duan	2019	arxiv 1908.09547
Spark in the Dark: Evaluating Encoder-Decoder Pairs for COVID-19 CT's Semantic Segmentation	Bruno A. Krinski, Daniel V. Ruiz, Eduardo Todt	2021	arxiv 2109.14818
Improving Performance of Semantic Segmentation CycleGANs by Noise Injection into the Latent Segmentation Space	Jonas Löhdefink, Tim Fingscheidt	2022	arxiv 2201.06415
Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation	Rui Li, Jianlin Su, Chenxi Duan	2020	arxiv 2007.14902
A Decoding Scheme with Successive Aggregation of Multi-Level Features for Light-Weight Semantic Segmentation	Jiwon Yoo, Jangwon Lee, Gyeonghwan Kim	2024	arxiv 2402.11201
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation	Kaixin Cai, Pengzhen Ren, Yi Zhu	2023	arxiv 2308.04829
Multi-source Pseudo-label Learning of Semantic Segmentation for the Scene Recognition of Agricultural Mobile Robots