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Found 4 papers, 1 papers with code
A Systematic IoU-Related Method: Beyond Simplified Regression for Better Localization
Specifically, the stricter the metric is, the more notable the gain is, improving \textbf{8. 2 mAP} on VOC2007 and \textbf{5. 4 mAP} on COCO2017 at metric $AP_{90}$.
Detect Faces Efficiently: A Survey and Evaluations
However, with the tremendous increase in images and videos with variations in face scale, appearance, expression, occlusion and pose, traditional face detectors are challenged to detect various "in the wild" faces.
POP-Norm: A Theoretically Justified and More Accelerated Normalization Approach
Batch Normalization (BatchNorm) has been a default module in modern deep networks due to its effectiveness for accelerating training deep neural networks.
Direct l_(2,p)-Norm Learning for Feature Selection
In this paper, we propose a novel sparse learning based feature selection method that directly optimizes a large margin linear classification model sparsity with l_(2, p)-norm (0 < p < 1)subject to data-fitting constraints, rather than using the sparsity as a regularization term.
