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Multiscale spectral graph neural networks for hyperspectral imaging
Graph Neural Network Library for PyTorch
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Python package built to ease deep learning on graph, on top of existing DL frameworks.
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Anomaly detection related books, papers, videos, and toolboxes
links to conference publications in graph-based deep learning
A unified, comprehensive and efficient recommendation library