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
Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound	Gijs Luijten, Roberto Maria Scardigno, Lisle Faray de Paiva	2025	arxiv 2506.23721
DAS-SK: An Adaptive Model Integrating Dual Atrous Separable and Selective Kernel CNN for Agriculture Semantic Segmentation	Mei Ling Chee, Thangarajah Akilan, Aparna Ravindra Phalke	2026	arxiv 2602.08168
Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation	Chunfeng Song, Yan Huang, Wanli Ouyang	2019	arxiv 1904.11693
GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation	Weiming Zhang, Yexin Liu, Xu Zheng	2024	arxiv 2403.16370
A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language Models	Manuel Schwonberg, Claus Werner, Hanno Gottschalk	2024	arxiv 2411.16407
A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in Electron Tomography of Catalytic Materials	Arda Genc, Libor Kovarik, Hamish L. Fraser	2022	arxiv 2201.07342
A Novel Approach to Tomato Harvesting Using a Hybrid Gripper with Semantic Segmentation and Keypoint Detection	Shahid Ansari, Mahendra Kumar Gohil, Yusuke Maeda	2025	arxiv 2512.03684
Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent Search	Prashant Pandey, Aayush Kumar Tyagi, Sameer Ambekar	2020	arxiv 2006.08696
Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images

Morphological Operation Residual Blocks: Enhancing 3D Morphological Feature Representation in Convolutional Neural Networks for Semantic Segmentation of Medical Images	Chentian Li, Chi Ma, William W. Lu	2021	arxiv 2103.04026

Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images	Raja Muhammad Saad Bashir, Talha Qaiser, Shan E Ahmed Raza	2023	arxiv 2301.13141