Real-Time Weakly Supervised Object Detection Using Center-of-Features Localization

Real-Time Weakly Supervised Object Detection Using Center-of-Features Localization

We propose a high-speed convolutional neural network approach for weakly supervised localization (WSL) and weakly supervised object detection (WSOD). The proposed method, called center-of-features localization (COFL), performs localization of objects in a visual scene by combining both multi-label c...

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Bibliographic Details
Main Authors: Hatem Ibrahem, Ahmed Diefy Ahmed Salem, Hyun-Soo Kang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Object detection
object localization
weakly supervised learning
convolutional neural networks
Online Access:https://ieeexplore.ieee.org/document/9371695/

Internet

https://ieeexplore.ieee.org/document/9371695/

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