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mmsegmentation - MMSegmentation is an open source semantic segmentation toolbox based on PyTorch. It is a part of the OpenMMLab project. Pixel Decoder - A machine learning python package to run deep learning with satellite imagery. PixelLib - Pixellib is a library for performing segmentation of ima...
pytorch-semantic-segmentation: PyTorch for Semantic Segmentation. RoIAlign.pytorch: This is a PyTorch version of RoIAlign. This implementation is based on crop_and_resize and supports both forward and backward on CPU and GPU. pytorch-cnn-finetune: Fine-tune pretrained Convolutional Neural Networks w...
1. Instance Segmentation PASTIS: Panoptic Agricultural Satellite TIme Series(IGN, July 2021) 124,422 Agricultural parcels, 2,433 Sentinel-2 image chip timeseries, France, panoptic labels (instance index + semantic label for each pixel). Paper:Garnot & Landrieu 2021 ...
intro: master thesis arxiv: arxiv.org/abs/1607.0612 Drawing and Recognizing Chinese Characters with Recurrent Neural Network arxiv: arxiv.org/abs/1606.0653 Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition intro: correct rates: Dat...
3500+ face-alignment: 基于PyTorch 的 2D 和 3D 面部对齐库。 adrianbulat.com 1200+ pytorch-semantic-segmentation: 语义分割。 1000- RoIAlign.pytorch: PyTorch版本的RoIAlign。其实现基于crop_and_resize,支持CPU和GPU上的前向和后向。 1000- pytorch-cnn-finetune:用PyTorch微调预训练卷积神经网络。 1000- ...
Code: http://github.com/cdancette/rubi.bootstrap.pytorch 理解图神经网络中的注意力与泛化机制,Understanding Attention and Generalization in Graph Neural Networks https://arxiv.org/pdf/1905.02850.pdf Facebook提出跨语言预训练模型XLM,Cross-lingual Language Model Pretraining https://arxiv.org/pdf/1901.07...
INTERMT/Awesome-PyTorch-Chinese⭐ 0.16K (中文) MXNet chinakook/Awesome-MXNet⭐0.6K Machine Learning josephmisiti/awesome-machine-learning⭐ 38.4K apachecn/AiLearning⭐ 10K (中文) ujjwalkarn/Machine-Learning-Tutorials⭐ 8.7K src-d/awesome-machine-learning-on-source-code⭐ 3.8K ...
segmentation_models.pytorch - A PyTorch-based toolkit that offers pre-trained segmentation models for computer vision tasks. It simplifies the development of image segmentation applications by providing a collection of popular architecture implementations, such as UNet and PSPNet, along with pre-trained ...