Semantic Segmentation on PyTorch English |简体中文 This project aims at providing a concise, easy-to-use, modifiable reference implementation for semantic segmentation models using PyTorch. Installation # semantic-segmentation-pytorch dependencies pip install ninja tqdm # follow PyTorch installation in https...
Vladimir Nekrasov, Hao Chen, Chunhua Shen, and Ian D. Reid. Fast neural architecture search of compact semantic segmentation models via auxiliary cells. arXiv preprint, 2018.(语义分割) Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan Yuille, and Li Fei-Fei. Auto-...
github:https://github.com/meijieru/crnn.pytorch Recursive Recurrent Nets with Attention Modeling for OCR in the Wild arxiv:http://arxiv.org/abs/1603.03101 Writer-independent Feature Learning for Offline Signature Verification using Deep Convolutional Neural Networks arxiv:http://arxiv.org/abs/1604....
TernausNetV2: Fully Convolutional Network for Instance Segmentation: pytorch Light-Weight RefineNet for Real-Time Semantic Segmentation Review list of Semantic Segmentation A 2021 guide to Semantic Segmentation (nanonet) ⭐ ⭐ ⭐ ⭐ Evolution of Image Segmentation using Deep Convolutional Neural Ne...
从上图可知,TensorFlow和PyTorch是目前深度学习框架中的扛把子。当然这个大方向基调很早之前就奠定下来了,毕竟TensorFlow是Google家的,PyTorch是Facebook家的。 所以目前已经建立两个开源库: TensorFlow-From-Zero-To-One PyTorch-From-Zero-To-One awesome-image-classification ...
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计算机视觉中用到的注意力模块和其他即插即用模块PyTorch Implementation Collection of Attention Module and Plug&Play Module
[CVPR] SO-Net: Self-Organizing Network for Point Cloud Analysis. [pytorch] [cls.seg.] [CVPR] Recurrent Slice Networks for 3D Segmentation of Point Clouds. [pytorch] [seg.] [CVPR] 3D Semantic Segmentation with Submanifold Sparse Convolutional Networks. [pytorch] [seg.] ...
vedaseg: A semantic segmentation framework by pyotrch ClassyVision: An end-to-end PyTorch framework for image and video classification. detecto:Computer vision in Python with less than 10 lines of code pytorch3d: PyTorch3D is FAIR's library of reusable components for deep learning with 3D data ...
A Survey on Deep Learning-based Fine-Grained Object Classification and Semantic Segmentation. Bo Zhao, Jiashi Feng, Xiao Wu, and Shuicheng Yan. International Journal of Automation and Computing, 2017.Benchmark datasetsSummary of popular fine-grained image datasets. Note that ‘‘BBox’’ indicates ...