Subgrid BoostCNN trains each boosting weak learner on the most gradient-important pixels, reusing the previous network's feature extractor, and reports higher accuracy and lower training time than standard CNNs and BoostCNN.
Bilinear CNN models for fine-grained visual recognition,
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Tricks and Plug-ins for Gradient Boosting in Image Classification
Subgrid BoostCNN trains each boosting weak learner on the most gradient-important pixels, reusing the previous network's feature extractor, and reports higher accuracy and lower training time than standard CNNs and BoostCNN.