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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
C-DLinkNet: considering multi-level semantic features for human parsingYu Lu, Muyan Feng, Ming Wu2020arxiv 2001.11690
Metadata Improves Segmentation Through Multitasking ElicitationIaroslav Plutenko, Mikhail Papkov, Kaupo Palo2023arxiv 2308.09411
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional NetworksRenan A. Rojas-Gomez, Teck-Yian Lim, Alexander G. Schwing2022arxiv 2210.08001
Neither Quick Nor Proper -- Evaluation of QuickProp for Learning Deep Neural NetworksClemens-Alexander Brust, Sven Sickert, Marcel Simon2016arxiv 1606.04333
Leveraging 2D-VLM for Label-Free 3D Segmentation in Large-Scale Outdoor Scene UnderstandingToshihiko Nishimura, Hirofumi Abe, Kazuhiko Murasaki2026arxiv 2601.02029
PaRK-Detect: Towards Efficient Multi-Task Satellite Imagery Road Extraction via Patch-Wise Keypoints DetectionShenwei Xie, Wanfeng Zheng, Zhenglin Xian2023arxiv 2302.13263
Learning Point Embeddings from Shape Repositories for Few-Shot SegmentationGopal Sharma, Evangelos Kalogerakis, Subhransu Maji2019arxiv 1910.01269
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTIJens Behley, Andres Milioto, Cyrill Stachniss2020arxiv 2003.02371
RethNet: Object-by-Object Learning for Detecting Facial Skin ProblemsShohrukh Bekmirzaev, Seoyoung Oh, Sangwook Yoo2021arxiv 2101.02127
SPGNet: Semantic Prediction Guidance for Scene ParsingBowen Cheng, Liang-Chieh Chen, Yunchao Wei2019arxiv 1908.09798
Using Image Priors to Improve Scene UnderstandingBrigit Schroeder, Hanlin Tang, Alexandre Alahi2019arxiv 1910.01198
Unsupervised Image Segmentation by Mutual Information Maximization and Adversarial RegularizationS. Ehsan Mirsadeghi, Ali Royat, Hamid Rezatofighi2021arxiv 2107.00691
Robust 3D Scene Segmentation through Hierarchical and Learnable Part-FusionAnirud Thyagharajan, Benjamin Ummenhofer, Prashant Laddha2021arxiv 2111.08434
Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World EnvironmentsThanh-Dat Truong, Hoang-Quan Nguyen, Bhiksha Raj2023arxiv 2305.15700
Learning to Relate Depth and Semantics for Unsupervised Domain AdaptationSuman Saha, Anton Obukhov, Danda Pani Paudel2021arxiv 2105.07830
Unsupervised Domain Adaptation for Medical Image Segmentation via Feature-space Density MatchingTushar Kataria, Beatrice Knudsen, Shireen Elhabian2023arxiv 2305.05789
Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net ArchitectureMitul Goswami, Sainath Dey, Aniruddha Mukherjee2025arxiv 2502.05476
PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point CloudsBarza Nisar, Steven L. Waslander2025arxiv 2503.13914
WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain LabelsShengjie Liu, Chuang Zhu, Wenqi Tang2022arxiv 2210.02088
Atrous Residual Interconnected Encoder to Attention Decoder Framework for Vertebrae Segmentation via 3D Volumetric CT ImagesWenqiang Li, YM Tang, Ziyang Wang2021arxiv 2104.03715