Supplementary material for “Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction”
نویسندگان
چکیده
S1 . Parameter estimation for finetuning with structured SVM objective . . . . . . . . . . . . . . . . . . . . . 1 S2 . Details on hard negative data mining . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 S3 . Implementation details on model parameter estimation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 S4 . Efficiency of fine-grained search (FGS) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 S5 . Step-wise performance of fine-grained search (FGS) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 S6 . Test set mAP on PASCAL VOC 2007 using VGGNet with different region proposal methods . . . . . . . 3 S7 . Precision-recall curves on PASCAL VOC 2007 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 S8 . Localization accuracy on PASCAL VOC 2007 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 S9 . Examples with the largest improvement on PASCAL VOC 2007 test set . . . . . . . . . . . . . . . . . . . 6 S10 . Top-ranked false positives on PASCAL VOC 2007 test set . . . . . . . . . . . . . . . . . . . . . . . . . . 6 S11 . Random detection examples on PASCAL VOC 2007 test set . . . . . . . . . . . . . . . . . . . . . . . . . 6
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