Bottom-up top-down cues for weakly-supervised semantic segmentation
We consider the task of learning a classifier for semantic segmentation using weak supervision in the form of image labels specifying objects present in the image. Our method uses deep convolutional neural networks (cnns) and adopts an Expectation-Maximization (EM) based approach. We focus on the fo...
Hoofdauteurs: | Hou, Q, Massiceti, D, Dokania, P, Wei, Y, Cheng, M, Torr, P |
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Formaat: | Conference item |
Gepubliceerd in: |
Springer, Cham
2018
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Gelijkaardige items
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OBJCUT: efficient segmentation using top-down and bottom-up cues.
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Gepubliceerd in: (2010) -
OBJCUT: efficient segmentation using top-down and bottom-up cues
door: Kumar, MP, et al.
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Discovering class-specific pixels for weakly-supervised semantic segmentation
door: Chaudhry, A, et al.
Gepubliceerd in: (2017) -
Exploring bottom-up and top-down cues with attentive learning for webly supervised object detection
door: Wu, Zhonghua, et al.
Gepubliceerd in: (2020) -
Bottom-up or top-down?
door: Johansen-Berg, H
Gepubliceerd in: (2001)