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
Semantic Segmentation of Neuronal Bodies in Fluorescence Microscopy Using a 2D+3D CNN Training Strategy with Sparsely Annotated Data	Filippo Maria Castelli, Matteo Roffilli, Giacomo Mazzamuto	2020	arxiv 2009.00029
Fast Point Voxel Convolution Neural Network with Selective Feature Fusion for Point Cloud Semantic Segmentation	Xu Wang, Yuyan Li, Ye Duan	2021	arxiv 2109.11614
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation	Yi Li, Yiqun Duan, Zhanghui Kuang	2021	arxiv 2112.07431
LGENet: Local and Global Encoder Network for Semantic Segmentation of Airborne Laser Scanning Point Clouds	Yaping Lin, George Vosselman, Yanpeng Cao	2020	arxiv 2012.10192
Bilateral Network with Residual U-blocks and Dual-Guided Attention for Real-time Semantic Segmentation	Liang Liao, Liang Wan, Mingsheng Liu	2023	arxiv 2310.20305
Image-to-Image Matching via Foundation Models: A New Perspective for Open-Vocabulary Semantic Segmentation	Yuan Wang, Rui Sun, Naisong Luo	2024	arxiv 2404.00262
Exploring Modality Guidance to Enhance VFM-based Feature Fusion for UDA in 3D Semantic Segmentation	Johannes Spoecklberger, Wei Lin, Pedro Hermosilla	2025	arxiv 2504.14231
CycleBEV: Regularizing View Transformation Networks via View Cycle Consistency for Bird's-Eye-View Semantic Segmentation	Jeongbin Hong, Dooseop Choi, Taeg-Hyun An	2026	arxiv 2602.23575
Point-MoE: Large-Scale Multi-Dataset Training with Mixture-of-Experts for 3D Semantic Segmentation	Xuweiyi Chen, Wentao Zhou, Aruni RoyChowdhury

3D Adapted Random Forest Vision (3DARFV) for Untangling Heterogeneous-Fabric Exceeding Deep Learning Semantic Segmentation Efficiency at the Utmost Accuracy	Omar Alfarisi, Zeyar Aung, Qingfeng Huang	2022	arxiv 2203.12469