WebbObject Detection – KITTI Format Label Files Sequence Mapping File Instance Segmentation – COCO format Semantic Segmentation – UNet Format Structured Images and Masks Folders Image and Mask Text files Gesture Recognition – Custom Format Label Format Heart Rate Estimation – Custom Format EmotionNet, FPENET, GazeNet – JSON … WebbTo visualize the effect of the pruning using different pruning algorithms and different sparsity levels on the performance, figure 2 shows ground truth samples and the …
Localization-aware Channel Pruning for Object Detection
Webb10 juni 2024 · Pruning the model Having trained a well-performing model, you can now decrease the number of weights to cut down on file size and inference time. TAO Toolkit includes an easy-to-use pruning tool. The one argument to play with is -pth, which sets the threshold for neurons to prune. Webb8 feb. 2024 · Pruning is orthogonal to the meta-architecture used for object detection. When we talk about the TensorFlow Object Detection API, it heavily relies on builders that read the config and create corresponding nets, classes etc. I believe you want to prune the feature extractor as the most heavy part. shop sweets and treats coupon code
Group channel pruning and spatial attention distilling for object detection
Webb25 aug. 2024 · Most of existing pruning methods mainly focus on classification. Few of them conduct systematic research on object detection. However, object detection is different from classification, which requires not only semantic information but also localization information. Webb6 nov. 2024 · Channel pruning is one of the important methods for deep model compression. Most of existing pruning methods mainly focus on classification. Few of … Webb4 jan. 2024 · layer pruning: ResBlock is used as the basic unit for purning, which is conducive to hardware deployment. It can only cut backbone. layer-channel pruning: … shop sweepings crossword