yolo-custom-segmentation

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PyTorch-based reimplementation of the YOLO instance segmentation model featuring a full architecture replication of Ultralytics with advanced enhancements. The model integrates C3k nested blocks, C2PSA attention modules, DFL-based bounding box refinement, and depthwise separable convolutions for efficient multi-scale detection and segmentation.

目标软件或硬件
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工作类型
源码重建
主要公开仓库
github.com/mihajlov39547/yolo-custom-segmentation
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介绍与范围

PyTorch-based reimplementation of the YOLO instance segmentation model featuring a full architecture replication of Ultralytics with advanced enhancements. The model integrates C3k nested blocks, C2PSA attention modules, DFL-based bounding box refinement, and depthwise separable convolutions for efficient multi-scale detection and segmentation.

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源码、构建与发布