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
The revenge of BiSeNet: Efficient Multi-Task Image Segmentation	Gabriele Rosi, Claudia Cuttano, Niccolò Cavagnero	2024	arxiv 2404.09570
BATISNet: Instance Segmentation of Tooth Point Clouds with Boundary Awareness	Yating Cai, Yanghui Xu, Zehua Hu	2025	arxiv 2512.24201
HQF-Net: A Hybrid Quantum-Classical Multi-Scale Fusion Network for Remote Sensing Image Segmentation	Md Aminur Hossain, Ayush V. Patel, Siddhant Gole	2026	arxiv 2604.06715
Progressive Prompt-Guided Cross-Modal Reasoning for Referring Image Segmentation	Jiachen Li, Hongyun Wang, Jinyu Xu	2026	arxiv 2603.27993
Making Training-Free Diffusion Segmentors Scale with the Generative Power	Benyuan Meng, Qianqian Xu, Zitai Wang	2026	arxiv 2603.06178
Perceptio: Perception Enhanced Vision Language Models via Spatial Token Generation	Yuchen Li, Amanmeet Garg, Shalini Chaudhuri	2026	arxiv 2603.18795
Grounding Synthetic Data Generation With Vision and Language Models	Ümit Mert Çağlar, Alptekin Temizel	2026	arxiv 2603.09625
A drone-based framework for coral habitat mapping via weakly supervised segmentation	Matteo Contini, Victor Illien, Sylvain Poulain	2025	arxiv 2508.18958
Align and Segment: Unsupervised Learning for Building Segmentation From Misaligned Labels	Venkanna Babu Guthula, Oswin Krause, Dimitri Gominski	2026	arxiv 2607.10841
Not All Patches are Equal: Sampling Matters for Visible-Infrared Pre-Training	Qiwei Ma, Bin Deng, Junjie Zhu

Deep Learning with Anatomical Priors: Imitating Enhanced Autoencoders in Latent Space for Improved Pelvic Bone Segmentation in MRI	Duc Duy Pham, Gurbandurdy Dovletov, Sebastian Warwas	2019	arxiv 1903.09263