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Mar 25, 2013 · Our model reduction approach helps accelerate the learning time while achieving the pre-determined learning objective. Experimental results on ...
In this work, we present a new approach to train an effective node classifier in a cascade detector. The algorithm is based on two key observations: 1) ...
We summarize the algorithm of our pruning approach in Algorithm 1. Page 6. PAISITKRIANGKRAI et al.: ASYMMETRIC PRUNING FOR LEARNING CASCADE DETECTORS. 1259.
Bibliographic details on Asymmetric Pruning for Learning Cascade Detectors.
Cascade detectors have been shown to operate extremely rapidly, with high ac- curacy, and have important applications such as face detection. Driven by this.
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Asymmetric pruning for learning cascade detectors(legacy), 103. Asymmetric pruning for learning cascade detectors(legacy), 66. Total Visits per Month. October ...
The multiple instance pruning (MIP) algorithm for soft cascades is proposed, which computes a set of thresholds which aggressively terminate computation ...
Asymmetric Pruning for Learning Cascade Detectors. Article. Full-text ... detector should satisfy the asymmetric learning objective of the cascade architecture.
Apr 25, 2024 · Asymmetric Pruning for Learning Cascade Detectors. IEEE Trans. Multim. 16(5): 1254-1267 (2014). [j6]. view. electronic edition via DOI ...
Title: Asymmetric Pruning for Learning Cascade Detectors. Authors: Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel. Comments: 14 pages. Subjects ...