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
RADSeg: Unleashing Parameter and Compute Efficient Zero-Shot Open-Vocabulary Segmentation Using Agglomerative Models	Omar Alama, Darshil Jariwala, Avigyan Bhattacharya	2025	arxiv 2511.19704
DualGeo: A Dual-View Framework for Worldwide Image Geo-localization	Junchao Cui, Wenqi Shi, Shaoyong Du	2026	arxiv 2604.25533
Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso	Fei Wang, Yutong Zhang, Xiong Wang	2026	arxiv 2604.03953
Domain-Specialized Object Detection via Model-Level Mixtures of Experts	Svetlana Pavlitska, Malte Stüven, Beyza Keskin	2026	arxiv 2604.18256
Multi-Scale Spectral Attention Module-based Hyperspectral Segmentation in Autonomous Driving Scenarios	Imad Ali Shah, Jiarong Li, Tim Brophy	2025	arxiv 2506.18682
In Pursuit of Pixel Supervision for Visual Pre-training	Lihe Yang, Shang-Wen Li, Yang Li	2025	arxiv 2512.15715
Next-Embedding Prediction Makes Strong Vision Learners	Sihan Xu, Ziqiao Ma, Wenhao Chai	2025	arxiv 2512.16922
DualProtoSeg: Simple and Efficient Design with Text- and Image-Guided Prototype Learning for Weakly Supervised Histopathology Image Segmentation	Anh M. Vu, Khang P. Le, Trang T. K. Vo	2025	arxiv 2512.10314
DOS: Distilling Observable Softmaps of Zipfian Prototypes for Self-Supervised Point Representation	Mohamed Abdelsamad, Michael Ulrich, Bin Yang	2025	arxiv 2512.11465
Semantic Misalignment in Vision-Language Models under Perceptual Degradation