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
Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth Estimation	Hanrong Ye, Dan Xu	2023	arxiv 2304.00971
Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training	Kudaibergen Abutalip, Numan Saeed, Mustaqeem Khan	2023	arxiv 2304.11445
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient	Florian Kofler, Ivan Ezhov, Fabian Isensee	2021	arxiv 2103.06205
Multi-Task Learning based Video Anomaly Detection with Attention	Mohammad Baradaran, Robert Bergevin	2022	arxiv 2210.07697
Knowledge distillation with Segment Anything (SAM) model for Planetary Geological Mapping	Sahib Julka, Michael Granitzer	2023	arxiv 2305.07586
Materialistic: Selecting Similar Materials in Images	Prafull Sharma, Julien Philip, Michaël Gharbi	2023	arxiv 2305.13291
A Self-Supervised Miniature One-Shot Texture Segmentation (MOSTS) Model for Real-Time Robot Navigation and Embedded Applications	Yu Chen, Chirag Rastogi, Zheyu Zhou	2023	arxiv 2306.08814
Recurrent Pixel Embedding for Instance Grouping	Shu Kong, Charless Fowlkes	2017	arxiv 1712.08273
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding	Christos Sakaridis, Dengxin Dai, Simon Hecker	2018	arxiv 1808.01265
Dynamic Adaptation on Non-Stationary Visual Domains