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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
Superpixels Based Segmentation and SVM Based Classification Method to Distinguish Five Diseases from Normal Regions in Wireless Capsule EndoscopyOmid Haji Maghsoudi2017arxiv 1711.06616
Semantic-Preserving Image Coding based on Conditional Diffusion ModelsFrancesco Pezone, Osman Musa, Giuseppe Caire2023arxiv 2310.15737
Convolutional Oriented Boundaries: From Image Segmentation to High-Level TasksKevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Arbeláez2017arxiv 1701.04658
Instance Flow Based Online Multiple Object TrackingSebastian Bullinger, Christoph Bodensteiner, Michael Arens2017arxiv 1703.01289
WordFence: Text Detection in Natural Images with Border AwarenessAndrei Polzounov, Artsiom Ablavatski, Sergio Escalera2017arxiv 1705.05483
SegICP-DSR: Dense Semantic Scene Reconstruction and RegistrationJay M. Wong, Syler Wagner, Connor Lawson2017arxiv 1711.02216
Depth Not Needed - An Evaluation of RGB-D Feature Encodings for Off-Road Scene Understanding by Convolutional Neural NetworkChristopher J. Holder, Toby P. Breckon, Xiong Wei2018arxiv 1801.01235
Approximate Query Matching for Image RetrievalAbhijit Suprem, Polo Chau2018arxiv 1803.05401
Deeply supervised salient object detection with short connectionsQibin Hou, Ming-Ming Cheng, Xiao-Wei Hu2016arxiv 1611.04849
Multimodal Recurrent Neural Networks with Information Transfer Layers for Indoor Scene LabelingAbrar H. Abdulnabi, Bing Shuai, Zhen Zuo2018arxiv 1803.04687
Single-Shot Object Detection with Enriched SemanticsZhishuai Zhang, Siyuan Qiao, Cihang Xie2017arxiv 1712.00433
CReaM: Condensed Real-time Models for Depth Prediction using Convolutional Neural NetworksAndrew Spek, Thanuja Dharmasiri, Tom Drummond2018arxiv 1807.08931
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary ShapesPengyuan Lyu, Minghui Liao, Cong Yao2018arxiv 1807.02242
Self-Erasing Network for Integral Object AttentionQibin Hou, Peng-Tao Jiang, Yunchao Wei2018arxiv 1810.09821
Net2Brain: A Toolbox to compare artificial vision models with human brain responsesDomenic Bersch, Kshitij Dwivedi, Martina Vilas2022arxiv 2208.09677
Inverse Evolution Layers: Physics-informed Regularizers for Deep Neural NetworksChaoyu Liu, Zhonghua Qiao, Chao Li2023arxiv 2307.07344
Geometric Deep Learning and Equivariant Neural NetworksJan E. Gerken, Jimmy Aronsson, Oscar Carlsson2021arxiv 2105.13926
Fluorescent Neuronal Cells v2: Multi-Task, Multi-Format Annotations for Deep Learning in MicroscopyLuca Clissa, Antonio Macaluso, Roberto Morelli2023arxiv 2307.14243
Unsupervised domain adaptation via coarse-to-fine feature alignment method using contrastive learningShiyu Tang, Peijun Tang, Yanxiang Gong2021arxiv 2103.12371
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain AdaptationSeunghun Lee, Sunghyun Cho, Sunghoon Im2021arxiv 2103.13447