A multi-step proposal refinement network for improved instance localization and boundary refinement with an application to fish detection
We propose a deep learning model that implements a narrow multi-step proposal refining network (MPRN) to increase instance recall and improve horizontal and vertical boundary estimation. The MPRN's contribution is a network that learns an automatic correction mechanism from performing step-wis...
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| 格式: | Thesis |
| 语言: | English |
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