A multi-step proposal refinement network for improved instance localization and boundary refinement with an application to fish detection

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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Bibliographic Details
Main Author: Labao, Alfonso B. (Author)
Other Authors: Naval, Prospero C. (adviser.)
Format: Thesis
Language:English
Subjects:
Computer vision.
Fishes > Detection.
Object localization.