Backtracking spatial pyramid pooling-based image classifier for weakly supervised top–down salient object detection
Top-down (TD) saliency models produce a probability map that peaks at target locations specified by a task or goal such as object detection. They are usually trained in a fully supervised (FS) setting involving pixel-level annotations of objects. We propose a weakly supervised TD saliency framework...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
2020
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Online Access: | https://hdl.handle.net/10356/142295 |
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Institution: | Nanyang Technological University |
Language: | English |
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