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Awesome Incremental Learning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
OpenMMLab's next-generation platform for general 3D object detection.
Collection of probabilistic models and inference algorithms
code for "PVO: Panoptic Visual Odometry", CVPR 2023
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
PyTorch implementation of over 30 realtime semantic segmentations models, e.g. BiSeNetv1, BiSeNetv2, CGNet, ContextNet, DABNet, DDRNet, EDANet, ENet, ERFNet, ESPNet, ESPNetv2, FastSCNN, ICNet, LEDNet, LinkNet, PP-LiteSeg, SegNet, ShelfNet, STDC, SwiftNet, and support knowledge distillation, distributed training etc.
远程仓库测试
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
测试本地上传
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