SOTA2 Research · papers

Papers for “semantic segmentation”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

Search results

20 indexed

Title	Authors	Year	Source
A Holistically-Guided Decoder for Deep Representation Learning with Applications to Semantic Segmentation and Object Detection	Jianbo Liu, Sijie Ren, Yuanjie Zheng	2020	arxiv 2012.10162
Semantic Segmentation on Multiple Visual Domains	Floris Naber	2021	arxiv 2107.04326
Exploring Simple Open-Vocabulary Semantic Segmentation	Zihang Lai	2024	arxiv 2401.12217
Fully Convolutional Networks for Semantic Segmentation	Jonathan Long, Evan Shelhamer, Trevor Darrell	2014	arxiv 1411.4038
Fully Convolutional Networks for Semantic Segmentation	Evan Shelhamer, Jonathan Long, Trevor Darrell	2016	arxiv 1605.06211
Hierarchical Pyramid Representations for Semantic Segmentation	Hiroaki Aizawa, Yukihiro Domae, Kunihito Kato	2021	arxiv 2104.01792
Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes	Xi Weng, Yan Yan, Si Chen	2022	arxiv 2203.04031
Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic Segmentation	Bruno A. Krinski, Daniel V. Ruiz, Eduardo Todt	2022	arxiv 2205.09722
Protecting Semantic Segmentation Models by Using Block-wise Image Encryption with Secret Key from Unauthorized Access	Hiroki Ito, MaungMaung AprilPyone, Hitoshi Kiya	2021	arxiv 2107.09362
Dilated Continuous Random Field for Semantic Segmentation	Xi Mo, Xiangyu Chen, Cuncong Zhong	2022	arxiv 2202.00162

Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation	Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann	2017	arxiv 1708.04400