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Minimal PyTorch implementation of YOLOv3
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
[ICIP'24 Lecture Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).
Small Object Detection Algorithm Incorporating Swin Transformer for Tea Buds
Unifying Public Datasets for Insulator Detectionand Fault Classification in Electrical Power Lines
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Multispectral Object Detection with Yolov5 and Transformer
一些关于目标检测的脚本的改进思路代码，详细请看readme.md