Shypd.aiThe largest open index of AI toolsYOLO-Multi-Backbones-Attention is an open-source computer vision tool that enhances YOLOv3 with lightweight backbones, attention mechanisms, and model compression techniques. It supports pruning, quantization, and distillation for efficient object detection.
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YOLO-Multi-Backbones-Attention is an open-source project designed to improve the efficiency and performance of YOLOv3 for object detection tasks. It integrates several lightweight backbones, including ShuffleNetV2, GhostNet, and VoVNet, to reduce model size and computational cost. The tool also incorporates various attention mechanisms like SE Block, CBAM Block, and ECA Block to enhance detection accuracy. Furthermore, it provides functionalities for model compression through pruning, quantization (including Dorefa for arbitrary bit quantization), and distillation, making it suitable for deployment on resource-constrained devices. The repository includes training and detection scripts, along with pre-trained models and support for multiple datasets such such as Visdrone and Bdd100K.
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