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3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

ahbf

attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

convnet-aig

PyTorch implementation for Convolutional Networks with Adaptive Inference Graphs

dynconv

Code for Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR2020)

edvr

Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks

efficient-3dcnns

PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.

efficientnet-pytorch

A PyTorch implementation of EfficientNet

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

gal

PyTorch implementation for GAL.

gdp

Tensorflow implementation for GDP.

kse

Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression

lrdkt

caffe model of LRDKT

mini-kinetics-200

Mini-Kinetics-200 data splits used in paper "Rethinking Spatiotemporal Feature Learning For Video Understanding"

multigrid-neural-architectures

Multigrid Neural Architecture

mzsr

Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)

octconv.pytorch

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

openvino_training_extensions

Trainable models and NN optimization tools

pcka

the official implementation of 'Rethinking Centered Kernel Alignment in Knowledge Distillation'.

prednet

Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch-coviar

Compressed Video Action Recognition

renet-pytorch-keras-chapter3

Combine other mature structures with segmentation networks.

shake-drop_pytorch

PyTorch implementation of shake-drop regularization

single-image-super-resolution

A collection of high-impact and state-of-the-art SR methods

ssr

structured sparsity regularization

tdan-vsr-cvpr-2020

TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020

temporal-shift-module

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

tokenexpansion

[CVPR 2024] The official pytorch implementation of "A General and Efficient Training for Transformer via Token Expansion".