List your company

Research

Papers for “semantic segmentation”

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

Search results

TitleAuthorsYearSource
Robust 6D Object Pose Estimation in Cluttered Scenes using Semantic Segmentation and Pose Regression NetworksArul Selvam Periyasamy, Max Schwarz, Sven Behnke2018arxiv 1810.03410
Semantic Segmentation of highly class imbalanced fully labelled 3D volumetric biomedical images and unsupervised Domain Adaptation of the pre-trained Segmentation Network to segment another fully unlabelled Biomedical 3D Image stackShreya Roy, Anirban Chakraborty2020arxiv 2004.02748
AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics EvaluationZhiyu Ma, Chen Li, Tianming Du2023arxiv 2308.08172
Synthetic-to-Real Domain Generalized Semantic Segmentation for 3D Indoor Point CloudsYuyang Zhao, Na Zhao, Gim Hee Lee2022arxiv 2212.04668
Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic SegmentationLianlei Shan, Wenzhang Zhou, Wei Li2024arxiv 2405.19568
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal DistillationAntonin Vobecky, David Hurych, Oriane Siméoni2022arxiv 2203.11160
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic SegmentationJoshua Niemeijer, Manuel Schwonberg, Jan-Aike Termöhlen2023arxiv 2312.01850
Pulling Target to Source: A New Perspective on Domain Adaptive Semantic SegmentationHaochen Wang, Yujun Shen, Jingjing Fei2023arxiv 2305.13752
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point CloudsJiacheng Wei, Guosheng Lin, Kim-Hui Yap2021arxiv 2107.11267
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic SegmentationKai Yao, Zhaorui Tan, Zixian Su2024arxiv 2405.14278
DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic SegmentationFengyi Shen, Akhil Gurram, Ziyuan Liu2023arxiv 2304.02222
Automatic Velocity Picking Using a Multi-Information Fusion Deep Semantic Segmentation NetworkH.T.Wang, J.S.Zhang, Z.X.Zhao2022arxiv 2205.03645
DUFormer: Solving Power Line Detection Task in Aerial Images using Semantic SegmentationDeyu An, Qiang Zhang, Jianshu Chao2023arxiv 2304.05821
Weakly Supervised Pseudo-Label assisted Learning for ALS Point Cloud Semantic SegmentationPuzuo Wang, Wei Yao2021arxiv 2105.01919
Local-to-Global Information Communication for Real-Time Semantic Segmentation Network SearchGuangliang Cheng, Peng Sun, Ting-Bing Xu2023arxiv 2302.08481
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware NetworkHuafeng Liu, Pai Peng, Tao Chen2023arxiv 2301.08160
REL-SF4PASS: Panoramic Semantic Segmentation with REL Depth Representation and Spherical FusionXuewei Li, Xinghan Bao, Zhimin Chen2026arxiv 2601.16788
Context Patch Fusion With Class Token Enhancement for Weakly Supervised Semantic SegmentationYiyang Fu, Hui Li, Wangyu Wu2026arxiv 2601.14718
Vision-Language Model Purified Semi-Supervised Semantic Segmentation for Remote Sensing ImagesShanwen Wang, Xin Sun, Danfeng Hong2026arxiv 2602.00202
Direct Segmentation without Logits Optimization for Training-Free Open-Vocabulary Semantic SegmentationJiahao Li, Yang Lu, Yachao Zhang2026arxiv 2604.07723