hanimiao Goto Github PK

3d-cnn-keras

http://learnandshare645.blogspot.hk/2016/06/3d-cnn-in-keras-action-recognition.html

3d-densenet

3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)

3dcnn

3D卷积神经网络

3dcnn-1

3D convolutional neural network for video classification

3dcnn-2

3D convolutional neural network for video classification

3dcnn-lstm

act-tensorflow

Adaptive Computation Time algorithm in Tensorflow

action-detection

temporal action detection with SSN

action-faster-rcnn

action-recognition

Action Recognition

action-recognition-1

Action Recognition using SVM, BoW pipeline

action-recognition-visual-attention

Action recognition using soft attention based deep recurrent neural networks

action_recognition

Action Recognition & Categories via Spatial-Temporal Features

actionrecognition

Explore Action Recognition

activity-recognition-with-cnn-and-rnn

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

activityrecognition

Information about activity recognition

adascan-public

Code for AdaScan: Adaptive Scan Pooling (CVPR 2017)

apt

Action localization Proposals from dense Trajectories

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

attentionalpoolingaction

Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"

awesome-computer-vision

A curated list of awesome computer vision resources

bgru-attentionpooling

We propose the Bidirectional Gated Recurrent Units (BGRU), which are integrated with the attention mechanism to pay attention to the important information and filter out the noise.

c3d

C3D is a modified version of BVLC caffe to support 3D ConvNets.

caffe

A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.

caffe-1

Support LRCN(both rgb and optical-flow). This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors

caffe-android-demo

An android caffe demo app exploiting caffe pre-trained ImageNet model for image classification

caffe-conf-matrix

Pyhton layer for the Caffe deep learning framework to compute the accuracy and the confusion matrix.

caffe-gbd

optimized caffe for GBD

caffe-lstm

LSTM implementation on Caffe

caffe-tpp-net