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
Leveraging Semantic Segmentation Masks with Embeddings for Fine-Grained Form Classification	Taylor Archibald, Tony Martinez	2024	arxiv 2405.14162
Content-aware Token Sharing for Efficient Semantic Segmentation with Vision Transformers	Chenyang Lu, Daan de Geus, Gijs Dubbelman	2023	arxiv 2306.02095
Risk Assessment for Autonomous Landing in Urban Environments using Semantic Segmentation	Jesús Alejandro Loera-Ponce, Diego A. Mercado-Ravell, Israel Becerra-Durán	2024	arxiv 2410.12988
Class Enhancement Losses with Pseudo Labels for Zero-shot Semantic Segmentation	Son Duy Dao, Hengcan Shi, Dinh Phung	2023	arxiv 2301.07336
SSSegmenation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch	Zhenchao Jin	2023	arxiv 2305.17091
RePL: Pseudo-label Refinement for Semi-supervised LiDAR Semantic Segmentation	Donghyeon Kwon, Taegyu Park, Suha Kwak	2026	arxiv 2604.06825
Best Practices in Active Learning for Semantic Segmentation	Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer	2023	arxiv 2302.04075
Distance Map Loss Penalty Term for Semantic Segmentation	Francesco Caliva, Claudia Iriondo, Alejandro Morales Martinez	2019	arxiv 1908.03679
DEAL: Difficulty-aware Active Learning for Semantic Segmentation	Shuai Xie, Zunlei Feng, Ying Chen	2020	arxiv 2010.08705
Image Compression with Encoder-Decoder Matched Semantic Segmentation	Trinh Man Hoang, Jinjia Zhou, Yibo Fan