Research

Papers for “semantic segmentation”

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

Title	Authors	Year	Source
A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized Network	Kaite Xiang, Kaiwei Wang, Kailun Yang	2019	arxiv 1907.11394
A Semantic Segmentation Network Based Real-Time Computer-Aided Diagnosis System for Hydatidiform Mole Hydrops Lesion Recognition in Microscopic View	Chengze Zhu, Pingge Hu, Xianxu Zeng	2022	arxiv 2204.04949
One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning	Puzuo Wang, Wei Yao, Jie Shao	2022	arxiv 2211.12657
A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation	Max-Heinrich Laves, Jens Bicker, Lüder A. Kahrs	2018	arxiv 1807.06081
Few to Big: Prototype Expansion Network via Diffusion Learner for Point Cloud Few-shot Semantic Segmentation	Qianguang Zhao, Dongli Wang, Yan Zhou	2025	arxiv 2509.12878
iSAGE: A Human-in-the-Loop Framework for Remote Sensing Semantic Segmentation via Sparse Point Supervision	Osmar Luiz Ferreira de Carvalho, Osmar Abilio de Carvalho Junior, Anesmar Olino de Albuquerque	2026	arxiv 2606.10136
A Joint Learning Framework with Feature Reconstruction and Prediction for Incomplete Satellite Image Time Series in Agricultural Semantic Segmentation	Yuze Wang, Mariana Belgiu, Haiyang Wu	2025	arxiv 2505.19159
OE-BevSeg: An Object Informed and Environment Aware Multimodal Framework for Bird's-eye-view Vehicle Semantic Segmentation	Jian Sun, Yuqi Dai, Chi-Man Vong	2024	arxiv 2407.13137
A New Convolutional Network-in-Network Structure and Its Applications in Skin Detection, Semantic Segmentation, and Artifact Reduction	Yoonsik Kim, Insung Hwang, Nam Ik Cho	2017	arxiv 1701.06190
Performance improvement of spatial semantic segmentation with enriched audio features and agent-based error correction for DCASE 2025 Challenge Task 4	Jongyeon Park, Joonhee Lee, Do-Hyeon Lim	2025	arxiv 2506.21174
Technical Report for ICCV 2023 Visual Continual Learning Challenge: Continuous Test-time Adaptation for Semantic Segmentation	Damian Sójka, Yuyang Liu, Dipam Goswami	2023	arxiv 2310.13533
Pre-processing training data improves accuracy and generalisability of convolutional neural network based landscape semantic segmentation	Andrew Clark, Stuart Phinn, Peter Scarth	2023	arxiv 2304.14625
Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs	Ryan Jacobs, Mingren Shen, Yuhan Liu	2021	arxiv 2110.08244
A New Multiple Max-pooling Integration Module and Cross Multiscale Deconvolution Network Based on Image Semantic Segmentation	Hongfeng You, Shengwei Tian, Long Yu	2020	arxiv 2003.11213
Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging	Rachana Sathish, Ronnie Rajan, Anusha Vupputuri	2019	arxiv 1908.01176
Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study	Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch	2020	arxiv 2010.07830
FSSUWNet: Mitigating the Fragility of Pre-trained Models with Feature Enhancement for Few-Shot Semantic Segmentation in Underwater Images	Zhuohao Li, Zhicheng Huang, Wenchao Liu	2025	arxiv 2504.00478
Progressive Semantic Segmentation	Chuong Huynh, Anh Tran, Khoa Luu	2021	arxiv 2104.03778
Aerial LaneNet: Lane Marking Semantic Segmentation in Aerial Imagery using Wavelet-Enhanced Cost-sensitive Symmetric Fully Convolutional Neural Networks	Seyed Majid Azimi, Peter Fischer, Marco Körner	2018	arxiv 1803.06904
Semantic Segmentation Using Deep Learning to Extract Total Extraocular Muscles and Optic Nerve from Orbital Computed Tomography Images	Fubao Zhu, Zhengyuan Gao, Chen Zhao	2020	arxiv 2007.02091

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