SOTA2 Research · papers

Papers for “semantic segmentation”

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

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20 indexed

Title	Authors	Year	Source
Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation	Lin Chen, Zhixiang Wei, Xin Jin	2022	arxiv 2209.07695
Similarity-Aware Fusion Network for 3D Semantic Segmentation	Linqing Zhao, Jiwen Lu, Jie Zhou	2021	arxiv 2107.01579
Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation	Gabriel Tjio, Ping Liu, Joey Tianyi Zhou	2021	arxiv 2106.04144
Reflection Invariance Learning for Few-shot Semantic Segmentation	Qinglong Cao, Yuntian Chen, Chao Ma	2023	arxiv 2309.15850
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation	Towaki Takikawa, David Acuna, Varun Jampani	2019	arxiv 1907.05740
DifFSS: Diffusion Model for Few-Shot Semantic Segmentation	Weimin Tan, Siyuan Chen, Bo Yan	2023	arxiv 2307.00773
Weakly Supervised Semantic Segmentation by Knowledge Graph Inference	Jia Zhang, Bo Peng, Xi Wu	2023	arxiv 2309.14057
Rethinking Few-shot 3D Point Cloud Semantic Segmentation	Zhaochong An, Guolei Sun, Yun Liu	2024	arxiv 2403.00592
Exploiting CNNs for Semantic Segmentation with Pascal VOC	Sourabh Prakash, Priyanshi Shah, Ashrya Agrawal	2023	arxiv 2304.13216
Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation	Wangyu Wu, Tianhong Dai, Zhenhong Chen	2024	arxiv 2407.10649
Adaptive Prototype Replay for Class Incremental Semantic Segmentation