RetinaNet implementation in PyTorch
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Updated
Oct 10, 2017 - Python
RetinaNet implementation in PyTorch
Implement RetinaNet with TensorFlow.eager
PyTorch implementation of RetinaNet with the goal to reproduce results in the "focal loss for dense object detection" paper.
Multi-class object detection pipeline—Single Shot MultiBox Detector (SSD) + YOLOv3 (real-time) + focal loss (RetinaNet) + Pascal VOC 2007 dataset
An implementation of RetinaNet in Pytonch
An implementation of RetinaNet in PyTorch.
Inclusive Images challenge as part of the NIPS 2018 competition track.
Retina U-Net for medical imaging detection toolkit
Text Detection by RetinaNet with PyTorch (Code will be released soon)
Standard RetinaNet implemented with Pure PyTorch (Work in progress)
PyTorch Rocket Yolov3 RetinaNet SSD - Tutorial 2: A Tale of 3 Rockets
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Single shot object detection in PyTorch
Implementing a remote sensing object detector using Tensorflow object detection API
Detection of Animals in camera trapped images using RetinaNet in pytorch.
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