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
Lithium Metal Battery Quality Control via Transformer-CNN Segmentation	Jerome Quenum, Iryna Zenyuk, Daniela Ushizima	2023	arxiv 2302.04824
TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding	Shuo Wang, Jing Li, Zibo Zhao	2023	arxiv 2311.03427
LocaliseBot: Multi-view 3D object localisation with differentiable rendering for robot grasping	Sujal Vijayaraghavan, Redwan Alqasemi, Rajiv Dubey	2023	arxiv 2311.08438
InstructSeq: Unifying Vision Tasks with Instruction-conditioned Multi-modal Sequence Generation	Rongyao Fang, Shilin Yan, Zhaoyang Huang	2023	arxiv 2311.18835
Motion2Language, unsupervised learning of synchronized semantic motion segmentation	Karim Radouane, Andon Tchechmedjiev, Julien Lagarde	2023	arxiv 2310.10594
EvPlug: Learn a Plug-and-Play Module for Event and Image Fusion	Jianping Jiang, Xinyu Zhou, Peiqi Duan	2023	arxiv 2312.16933
A Contrastive Learning Scheme with Transformer Innate Patches	Sander Riis\oen Jyhne, Per-Arne Andersen, Morten Goodwin	2023	arxiv 2303.14806
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen	Hao Zhang, Fang Li, Lu Qi	2023	arxiv 2312.05538
CoFi: Coarse-to-Fine ICP for LiDAR Localization in an Efficient Long-lasting Point Cloud Map	Yecheng Lyu, Xinming Huang, Ziming Zhang	2021	arxiv 2110.10194
Benchmarking Segmentation Models with Mask-Preserved Attribute Editing	Zijin Yin, Kongming Liang, Bing Li