Semantic Segmentation based on Stacked Discriminative Autoencoders and Context-Constrained Weakly Supervised Learning

Proceedings of the 23rd ACM international conference on Multimedia - MM '15 ◽

10.1145/2733373.2806319 ◽

2015 ◽

Author(s):

Xiwen Yao ◽

Junwei Han ◽

Gong Cheng ◽

Lei Guo

Keyword(s):

Supervised Learning ◽

Semantic Segmentation ◽

Weakly Supervised Learning ◽

Weakly Supervised

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Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation: Understanding Semantic Layout of Images with Minimum Human Supervision

IEEE Signal Processing Magazine ◽

10.1109/msp.2017.2742558 ◽

2017 ◽

Vol 34 (6) ◽

pp. 39-49 ◽

Author(s):

Seunghoon Hong ◽

Suha Kwak ◽

Bohyung Han

Keyword(s):

Neural Networks ◽

Supervised Learning ◽

Convolutional Neural Networks ◽

Semantic Segmentation ◽

Deep Convolutional Neural Networks ◽

Weakly Supervised Learning ◽

Weakly Supervised

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An optic disk semantic segmentation method based on weakly supervised learning

2020 Chinese Control And Decision Conference (CCDC) ◽

10.1109/ccdc49329.2020.9164841 ◽

2020 ◽

Author(s):

Feng Pan ◽

Zheng Lu ◽

Dali Chen ◽

Dingyu Xue

Keyword(s):

Supervised Learning ◽

Semantic Segmentation ◽

Segmentation Method ◽

Weakly Supervised Learning ◽

Weakly Supervised

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Hierarchical Weakly Supervised Learning for Residential Area Semantic Segmentation in Remote Sensing Images

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2019.2914490 ◽

2020 ◽

Vol 17 (1) ◽

pp. 117-121 ◽

Author(s):

Libao Zhang ◽

Jie Ma ◽

Xinran Lv ◽

Donghui Chen

Keyword(s):

Remote Sensing ◽

Supervised Learning ◽

Semantic Segmentation ◽

Residential Area ◽

Remote Sensing Images ◽

Weakly Supervised Learning ◽

Weakly Supervised

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Weakly-Supervised Learning of a Deep Convolutional Neural Networks for Semantic Segmentation

IEEE Access ◽

10.1109/access.2019.2926972 ◽

2019 ◽

Vol 7 ◽

pp. 91009-91018 ◽

Author(s):

Yanqing Feng ◽

Lunwen Wang ◽

Mengbo Zhang

Keyword(s):

Neural Networks ◽

Supervised Learning ◽

Convolutional Neural Networks ◽

Semantic Segmentation ◽

Deep Convolutional Neural Networks ◽

Weakly Supervised Learning ◽

Weakly Supervised

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Multi-evidence Filtering and Fusion for Multi-label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition ◽

10.1109/cvpr.2018.00139 ◽

2018 ◽

Author(s):

Weifeng Ge ◽

Sibei Yang ◽

Yizhou Yu

Keyword(s):

Object Detection ◽

Supervised Learning ◽

Semantic Segmentation ◽

Weakly Supervised Learning ◽

Weakly Supervised

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The Lateral Conflict Risk Assessment for Low-altitude Training Airspace using Weakly Supervised Learning Method

Intelligent Automation & Soft Computing ◽

10.31209/2018.100000027 ◽

2018 ◽

Vol 24 (3) ◽

pp. 603-611

Author(s):

Kaijun Xu ◽

Xueting Chen ◽

Yusheng Yao ◽

Shanshan Li

Keyword(s):

Risk Assessment ◽

Supervised Learning ◽

Altitude Training ◽

Learning Method ◽

Weakly Supervised Learning ◽

Low Altitude ◽

Weakly Supervised ◽

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An improved weakly supervised learning system for detection of sound events in domestic environments

Proceedings of the 5th International Conference on Communication and Information Processing ◽

10.1145/3369985.3370007 ◽

2019 ◽

Author(s):

Dezhi Wang ◽

Lilun Zhang ◽

Xinghua Cheng ◽

Dan Zou ◽

Wenbin Xiao

Keyword(s):

Supervised Learning ◽

Learning System ◽

Weakly Supervised Learning ◽

Domestic Environments ◽

Weakly Supervised

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Novel American Sign Language Fingerspelling Recognition in the Wild with Weakly Supervised Learning and Feature Embedding

2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) ◽

10.1109/ecti-con51831.2021.9454677 ◽

2021 ◽

Author(s):

Peerawat Pannattee ◽

Wuttipong Kumwilaisak ◽

Chatchawarn Hansakunbuntheung ◽

Nattanun Thatphithakkul

Keyword(s):

American Sign Language ◽

Supervised Learning ◽

Sign Language ◽

American Sign ◽

Weakly Supervised Learning ◽

In The Wild ◽

Weakly Supervised

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Weakly Supervised Learning Creates a Fusion of Modeling Cultures

Observational Studies ◽

10.1353/obs.2021.0011 ◽

2021 ◽

Vol 7 (1) ◽

pp. 203-211

Author(s):

Chengliang Tang ◽

Gan Yuan ◽

Tian Zheng

Keyword(s):

Supervised Learning ◽

Weakly Supervised Learning ◽

Weakly Supervised

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Effects of Network Depths on Semantic Image Segmentation By Weakly Supervised Learning

2020 28th Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu49456.2020.9302471 ◽

2020 ◽

Author(s):

Cenk Bircanoglu ◽

Nafiz Arica

Keyword(s):

Image Segmentation ◽

Supervised Learning ◽

Weakly Supervised Learning ◽

Semantic Image Segmentation ◽

Weakly Supervised

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