Linking pages
- GitHub - CVHub520/X-AnyLabeling: Effortless data labeling with AI support from Segment Anything and other awesome models. https://github.com/CVHub520/X-AnyLabeling 0 comments
- GitHub - Peterande/D-FINE: D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement 💥💥💥 https://github.com/Peterande/D-FINE 0 comments
Linked pages
- GitHub - ultralytics/yolov5: YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite https://github.com/ultralytics/yolov5 25 comments
- GitHub - meituan/YOLOv6: YOLOv6: a single-stage object detection framework dedicated to industrial applications. https://github.com/meituan/YOLOv6 7 comments
- GitHub - AlexeyAB/darknet: YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) https://github.com/AlexeyAB/darknet 4 comments
- GitHub - WongKinYiu/yolor: implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206) https://github.com/WongKinYiu/yolor 3 comments
- GitHub - WongKinYiu/yolov7: Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors https://github.com/WongKinYiu/yolov7 0 comments
- [2402.13616] YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information https://arxiv.org/abs/2402.13616 0 comments