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deep-residual-networks

Deep Residual Learning for Image Recognition

deepbdc

The Pytorch code of "Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification", CVPR 2022 (Oral).

fast-mpn-cov

@CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact bilinear pooling etc.) for training from scratch & finetuning.

few-shot-classification-leaderboard

Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.

matconvnet.fast-mpn-cov

mpn-cov

@ICCV2017: For exploiting second-order statistics, we propose Matrix Power Normalized Covariance pooling (MPN-COV) ConvNets, different from and outperforming those using global average pooling.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorchviz

A small package to create visualizations of PyTorch execution graphs

sot

SoT: Delving Deeper into Classification Head for Transformer

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-fast-mpncov

Fast_MPNCOV implemented by TensorFlow2.0 for training from scratch & finetuning； BCNN implemented by Tensorflow2.0 for finetuning；Compact BCNN implemented by Tensorflow2.0 for finetuning