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Found 3 papers, 3 papers with code
Transferable Candidate Proposal with Bounded Uncertainty
To tackle this issue, we introduce a new experimental design, coined as Candidate Proposal, to find transferable data candidates from which active learning algorithms choose the informative subset.
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
In object detection, reducing computational cost is as important as improving accuracy for most practical usages.
PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
This paper presents how we can achieve the state-of-the-art accuracy in multi-category object detection task while minimizing the computational cost by adapting and combining recent technical innovations.
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