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
On the Transferability of Learning Models for Semantic Segmentation for Remote Sensing Data	Rongjun Qin, Guixiang Zhang, Yang Tang	2023	arxiv 2310.10490
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students	Xu Zheng, Yunhao Luo, Chong Fu	2022	arxiv 2209.02178
Rethinking the Global Knowledge of CLIP in Training-Free Open-Vocabulary Semantic Segmentation	Jingyun Wang, Cilin Yan, Guoliang Kang	2025	arxiv 2502.06818
BiXFormer: A Robust Framework for Maximizing Modality Effectiveness in Multi-Modal Semantic Segmentation	Jialei Chen, Xu Zheng, Danda Pani Paudel	2025	arxiv 2506.03675
Take a Peek: Efficient Encoder Adaptation for Few-Shot Semantic Segmentation via LoRA	Pasquale De Marinis, Gennaro Vessio, Giovanna Castellano	2025	arxiv 2512.10521
SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on Periocular Region Suppression	Bilal Hassan, Ramsha Ahmed, Taimur Hassan	2020	arxiv 2003.00825
DRIV100: In-The-Wild Multi-Domain Dataset and Evaluation for Real-World Domain Adaptation of Semantic Segmentation	Haruya Sakashita, Christoph Flothow, Noriko Takemura	2021	arxiv 2102.00150
GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain	Jyothiraditya Lingam, Nikhileswara Rao Sulake, Sai Manikanta Eswar Machara	2026	arxiv 2606.15937
Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-aware Semantic Segmentation in Point Clouds	Chao Qi, Jianqin Yin