C-WSL: Count-guided Weakly Supervised Localization
european conference on computer vision, 2018.
We introduce count-guided weakly supervised localization (C-WSL), an approach that uses per-class object count as a new form of supervision to improve weakly supervised localization (WSL). C-WSL uses a simple count-based region selection algorithm to select high-quality regions, each of which covers a single object instance during trainin...More
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