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
Neural Embedding Compression For Efficient Multi-Task Earth Observation Modelling	Carlos Gomes, Thomas Brunschwiler	2024	arxiv 2403.17886
Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud Segmentation	Ruijie Xu, Chuyu Zhang, Hui Ren	2024	arxiv 2407.12489
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders	Baijiong Lin, Weisen Jiang, Pengguang Chen	2024	arxiv 2407.02228
Improving 2D Feature Representations by 3D-Aware Fine-Tuning	Yuanwen Yue, Anurag Das, Francis Engelmann	2024	arxiv 2407.20229
Resolving Inconsistent Semantics in Multi-Dataset Image Segmentation	Qilong Zhangli, Di Liu, Abhishek Aich	2024	arxiv 2409.09893
Hierarchical End-to-End Autonomous Driving: Integrating BEV Perception with Deep Reinforcement Learning	Siyi Lu, Lei He, Shengbo Eben Li	2024	arxiv 2409.17659
OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery	Philipe Dias, Aristeidis Tsaris, Jordan Bowman	2024	arxiv 2410.19965
DefMamba: Deformable Visual State Space Model	Leiye Liu, Miao Zhang, Jihao Yin	2025	arxiv 2504.05794
The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer	Weixian Lei, Jiacong Wang, Haochen Wang	2025	arxiv 2504.10462
Parsimonious Dataset Construction for Laparoscopic Cholecystectomy Structure Segmentation	Yuning Zhou, Henry Badgery, Matthew Read