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Papers for “semantic segmentation”

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

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TitleAuthorsYearSource
Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road ExtractionAli Jamali, Swalpa Kumar Roy, Jonathan Li2023arxiv 2306.04947
Depth-aware CNN for RGB-D SegmentationWeiyue Wang, Ulrich Neumann2018arxiv 1803.06791
Improved Training for Self-Training by Confidence AssessmentsGal Hyams, Daniel Greenfeld, Dor Bank2017arxiv 1710.00209
Associatively Segmenting Instances and Semantics in Point CloudsXinlong Wang, Shu Liu, Xiaoyong Shen2019arxiv 1902.09852
FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking SystemPullarao Maddu, Wayne Doherty, Ganesh Sistu2019arxiv 1912.11066
Spatial Sampling Network for Fast Scene UnderstandingDavide Mazzini, Raimondo Schettini2019arxiv 1905.09033
Single Level Feature-to-Feature Forecasting with Deformable ConvolutionsJosip Šarić, Marin Oršić, Tonći Antunović2019arxiv 1907.11475
Technical Report: Co-learning of geometry and semantics for online 3D mappingMarcela Carvalho, Maxime Ferrera, Alexandre Boulch2019arxiv 1911.01082
Caltech Aerial RGB-Thermal Dataset in the WildConnor Lee, Matthew Anderson, Nikhil Raganathan2024arxiv 2403.08997
PillarSegNet: Pillar-based Semantic Grid Map Estimation using Sparse LiDAR DataJuncong Fei, Kunyu Peng, Philipp Heidenreich2021arxiv 2105.04169
Self-Supervised Monocular Depth Estimation with Internal Feature FusionHang Zhou, David Greenwood, Sarah Taylor2021arxiv 2110.09482
Panoptic Segmentation with a Joint Semantic and Instance Segmentation NetworkDaan de Geus, Panagiotis Meletis, Gijs Dubbelman2018arxiv 1809.02110
Auto-Annotation Quality Prediction for Semi-Supervised Learning with EnsemblesDror Simon, Miriam Farber, Roman Goldenberg2019arxiv 1910.13988
Seg-CycleGAN : SAR-to-optical image translation guided by a downstream taskHannuo Zhang, Huihui Li, Jiarui Lin2024arxiv 2408.05777
SegGPT: Segmenting Everything In ContextXinlong Wang, Xiaosong Zhang, Yue Cao2023arxiv 2304.03284
CUS3D :CLIP-based Unsupervised 3D Segmentation via Object-level DenoiseFuyang Yu, Runze Tian, Zhen Wang2024arxiv 2409.13982
Reducing Labelled Data Requirement for Pneumonia Segmentation using Image AugmentationsJitesh Seth, Rohit Lokwani, Viraj Kulkarni2021arxiv 2102.12764
A Unified View of Masked Image ModelingZhiliang Peng, Li Dong, Hangbo Bao2022arxiv 2210.10615
Semantic SuperPoint: A Deep Semantic DescriptorGabriel S. Gama, Nícolas S. Rosa, Valdir Grassi Jr2022arxiv 2211.01098
Real3D-Aug: Point Cloud Augmentation by Placing Real Objects with Occlusion Handling for 3D Detection and SegmentationPetr Šebek, Šimon Pokorný, Patrik Vacek2022arxiv 2206.07634