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Awesome GitHub RepositoriesAlternating Optimization
Training distinct network components independently in a loop to stabilize convergence.
Distinct from Model Training Optimizers: Distinct from Model Training Optimizers: specifies the alternating loop strategy for multi-network convergence rather than general hyperparameter tuning.
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Awesome Alternating Optimization GitHub Repositories
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- rbgirshick/py-faster-rcnn
rbgirshick/py-faster-rcnn
8,287在 GitHub 上查看This project is a Python implementation of the Faster R-CNN object detection framework. It serves as a convolutional neural network library and tool for locating and classifying multiple objects within images. The framework provides a pre-trained model implementation that allows for object detection inference without manual training. It supports the full lifecycle of object detection, including training detectors on visual datasets to identify and bound specific object classes. The system covers capabilities for computer vision model evaluation, neural network optimization to reduce model si
Implements an alternating optimization loop to stabilize convergence between the proposal and detection networks.
Python
