[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
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Updated
Jun 23, 2024 - Python
[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
HistoSeg is an Encoder-Decoder DCNN which utilizes the novel Quick Attention Modules and Multi Loss function to generate segmentation masks from histopathological images with greater accuracy. This repo contains the code to Test and Train the HistoSeg
Volumetric MRI brain tumor segmentation using autoencoder regularization
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
A collection of deep learning models (PyTorch implemtation)
compare the performance of cross entropy, focal loss, and dice loss in solving the problem of data imbalance
Meta Transfer Learning for Few Shot Semantic Segmentation using U-Net
基于Tensorflow的常用模型,包括分类分割、新型激活、卷积模块,可在Tensorflow2.X下运行。
Application of U-Net in Lung Segmentation-Pytorch
some loss functions of image segmentation
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