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
DMT: Dynamic Mutual Training for Semi-Supervised Learning	Zhengyang Feng, Qianyu Zhou, Qiqi Gu	2020	arxiv 2004.08514
Weakly-supervised segmentation of referring expressions	Robin Strudel, Ivan Laptev, Cordelia Schmid	2022	arxiv 2205.04725
Dynamic Group Transformer: A General Vision Transformer Backbone with Dynamic Group Attention	Kai Liu, Tianyi Wu, Cong Liu	2022	arxiv 2203.03937
MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation	Yi Gu, Yuming Huang, Chengzhong Xu	2022	arxiv 2206.12073
Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images	Yi Li, Yiduo Yu, Yiwen Zou	2022	arxiv 2206.06665
HM: Hybrid Masking for Few-Shot Segmentation	Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou	2022	arxiv 2203.12826
Deep Semantic Statistics Matching (D2SM) Denoising Network	Kangfu Mei, Vishal M. Patel, Rui Huang	2022	arxiv 2207.09302
Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation	Zhitong Xiong, Haopeng Li, Xiao Xiang Zhu	2022	arxiv 2208.00306
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data	Xiangyu Yue, Yang Zhang, Sicheng Zhao	2019	arxiv 1909.00889
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations	Niv Cohen, Rinon Gal, Eli A. Meirom	2022	arxiv 2204.01694