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
InfiNet: Fully Convolutional Networks for Infant Brain MRI Segmentation	Shubham Kumar, Sailesh Conjeti, Abhijit Guha Roy	2018	arxiv 1810.05735
SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics	Suyuan Zhao, Yizhen Luo, Ganbo Yang	2025	arxiv 2507.11588
Attention-Based Transformers for Instance Segmentation of Cells in Microstructures	Tim Prangemeier, Christoph Reich, Heinz Koeppl	2020	arxiv 2011.09763
Bidirectional Projection Network for Cross Dimension Scene Understanding	Wenbo Hu, Hengshuang Zhao, Li Jiang	2021	arxiv 2103.14326
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review	Yaodong Cui, Ren Chen, Wenbo Chu	2020	arxiv 2004.05224
Deep Visual Domain Adaptation: A Survey	Mei Wang, Weihong Deng	2018	arxiv 1802.03601
An MRF-UNet Product of Experts for Image Segmentation	Mikael Brudfors, Yaël Balbastre, John Ashburner	2021	arxiv 2104.05495
Video Class Agnostic Segmentation with Contrastive Learning for Autonomous Driving	Mennatullah Siam, Alex Kendall, Martin Jagersand	2021	arxiv 2105.03533
Orthogonal Ensemble Networks for Biomedical Image Segmentation	Agostina J. Larrazabal, César Martínez, Jose Dolz	2021	arxiv 2105.10827
"What's This?" -- Learning to Segment Unknown Objects from Manipulation Sequences	Wout Boerdijk, Martin Sundermeyer, Maximilian Durner	2020	arxiv 2011.03279