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Segmentation models with pretrained backbones. PyTorch.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
The 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)
Lots of semantic image segmentation implementations in Tensorflow/Keras
Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
Smoke detection via semantic segmentation using Baseline U-Net model & LinkNet and image augmentation
Pytorch Convolution neural network for semantic segmentation
All my Python code used for the Kaggle HuBMAP Semantic Segmentation competition
Image Segmentation of Brain Tumors using Convolutional Neural Networks. Implemented U-Net and LinkNet architectures.
Tumour segmentation using the U-Net architecture.
one-stage and two-stage detectors and segmentation-based detectors