Kin-Yiu, Wong
WongKinYiu
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Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Scaled-YOLOv4: Scaling Cross Stage Partial Network
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
PyTorch implementation of YOLOv4
Cross Stage Partial Networks
Repositories
25Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
No description provided.
No description provided.
Scaled-YOLOv4: Scaling Cross Stage Partial Network
Cross Stage Partial Networks
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
Generalist YOLO: Towards Real-Time End-to-End Multi-Task Visual Language Models
PyTorch implementation of YOLOv4
partial residual networks
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Personal website of WongKinYiu
Tutorial of sequential model of Keras
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OpenMMLab Detection Toolbox and Benchmark
A simple baseline for one-shot multi-object tracking
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Models built with TensorFlow