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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
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond\DJ.Khuê Lê-Huu, Karteek Alahari2021arxiv 2110.14759
Instance-sensitive Fully Convolutional NetworksJifeng Dai, Kaiming He, Yi Li2016arxiv 1603.08678
Compact Bilinear PoolingYang Gao, Oscar Beijbom, Ning Zhang2015arxiv 1511.06062
Object Detection from Video Tubelets with Convolutional Neural NetworksKai Kang, Wanli Ouyang, Hongsheng Li2016arxiv 1604.04053
Dilated Residual NetworksFisher Yu, Vladlen Koltun, Thomas Funkhouser2017arxiv 1705.09914
Effective Use of Dilated Convolutions for Segmenting Small Object Instances in Remote Sensing ImageryRyuhei Hamaguchi, Aito Fujita, Keisuke Nemoto2017arxiv 1709.00179
Convolutional Neural FabricsShreyas Saxena, Jakob Verbeek2016arxiv 1606.02492
The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image ClassificationCheng Ju, Aurélien Bibaut, Mark J. van der Laan2017arxiv 1704.01664
Loss Max-Pooling for Semantic Image SegmentationSamuel Rota Bulò, Gerhard Neuhold, Peter Kontschieder2017arxiv 1704.02966
Salient Object Detection with Semantic PriorsTam V. Nguyen, Luoqi Liu2017arxiv 1705.08207
Semantic 3D Occupancy Mapping through Efficient High Order CRFsShichao Yang, Yulan Huang, Sebastian Scherer2017arxiv 1707.07388
CyCADA: Cycle-Consistent Adversarial Domain AdaptationJudy Hoffman, Eric Tzeng, Taesung Park2017arxiv 1711.03213
The 2017 DAVIS Challenge on Video Object SegmentationJordi Pont-Tuset, Federico Perazzi, Sergi Caelles2017arxiv 1704.00675
Star Shape Prior in Fully Convolutional Networks for Skin Lesion SegmentationZahra Mirikharaji, Ghassan Hamarneh2018arxiv 1806.08437
Clearing noisy annotations for computed tomography imagingRoman Khudorozhkov, Alexander Koryagin, Alexey Kozhevin2018arxiv 1807.09151
SketchyScene: Richly-Annotated Scene SketchesChangqing Zou, Qian Yu, Ruofei Du2018arxiv 1808.02473
Imperfect Segmentation Labels: How Much Do They Matter?Nicholas Heller, Joshua Dean, Nikolaos Papanikolopoulos2018arxiv 1806.04618
Recent progress in semantic image segmentationXiaolong Liu, Zhidong Deng, Yuhan Yang2018arxiv 1809.10198
Semantic Understanding of Scenes through the ADE20K DatasetBolei Zhou, Hang Zhao, Xavier Puig2016arxiv 1608.05442
Quasi-spectral characterization of intracellular regions in bright-field light microscopy imagesKirill Lonhus, Renata Rychtarikova, Ganna Platonova2019arxiv 1908.03696