1 个仓库
Normalization layers that group channels to stabilize training in deep neural networks.
Distinct from Normalization Layers: Distinct from Batch Normalization: specifically implements group-based channel normalization.
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PaddleDetection is an object detection framework designed for the end-to-end development, training, and deployment of computer vision models. It provides a comprehensive library of modular neural network architectures and pipelines that support object detection, instance segmentation, and multi-object tracking tasks. The project distinguishes itself through a configuration-driven approach that decouples model components like backbones and heads, allowing for the flexible assembly of custom vision workflows. It incorporates advanced techniques such as anchor-free detection logic, joint detecti
Integrates group normalization layers to enhance training stability and model performance.