Research map / Detection and segmentation / CNN features
Submodular Asymmetric Feature Selection in Cascade Object Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use SAFS greedy submodular feature selection instead of FFS and LACBoost | cascade node classifier · CBCL Face Database #1 | false positive rate at fixed detection rate | Mixed |
| use SAFS greedy submodular feature selection instead of FFS and LACBoost | cascade node classifier · Caltech 10,000 Web Faces | false positive rate at fixed detection rate | Helped |
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