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
SPC-GS: Gaussian Splatting with Semantic-Prompt Consistency for Indoor Open-World Free-view Synthesis from Sparse Inputs	Guibiao Liao, Qing Li, Zhenyu Bao	2025	arxiv 2503.12535
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding	Thanh-Dat Truong, Utsav Prabhu, Bhiksha Raj	2023	arxiv 2311.15965
Spectral-Adaptive Modulation Networks for Visual Perception	Guhnoo Yun, Juhan Yoo, Kijung Kim	2025	arxiv 2503.23947
Semantic Image Synthesis via Class-Adaptive Cross-Attention	Tomaso Fontanini, Claudio Ferrari, Giuseppe Lisanti	2023	arxiv 2308.16071
Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes	Li Yuan, Yichen Zhou, Shuning Chang	2020	arxiv 2010.08365
Learning Representations from Audio-Visual Spatial Alignment	Pedro Morgado, Yi Li, Nuno Vasconcelos	2020	arxiv 2011.01819
Automated Design of Deep Learning Methods for Biomedical Image Segmentation	Fabian Isensee, Paul F. Jäger, Simon A. A. Kohl	2019	arxiv 1904.08128
Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery	Xueqing Deng, Yi Zhu, Yuxin Tian	2020	arxiv 2012.04222
Self-Supervised Pretraining of 3D Features on any Point-Cloud	Zaiwei Zhang, Rohit Girdhar, Armand Joulin	2021	arxiv 2101.02691
HIVE-Net: Centerline-Aware HIerarchical View-Ensemble Convolutional Network for Mitochondria Segmentation in EM Images	Zhimin Yuan, Xiaofen Ma, Jiajin Yi