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"Triple critical feature capture network: A triple critical feature cap" by Zhoufeng Liu, Kaihua Wang et al.

Weakly supervised object detection (WSOD) is becoming increasingly important for computer vision tasks, as it alleviates the burden of manual annotation. Most WSOD techniques rely on multiple instance learning (MIL), which tends to localise the discriminative parts of salient objects instead of the whole object. In addition, network training is often supervised using simple image-level annotations, without including object quantities or location information. However, this can lead to ambiguous d...
Computer Vision Image Processing Object Detection
Source: uow.edu.au

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