TianzhongSong / 3D-ConvNets-for-Action-RecognitionLinks
3D ConvNets for Action Recognition with Keras (3d ResNet, 3d DenseNet, 3d Inception, C3D, 3d dense resnet)
☆42Updated 7 years ago
Alternatives and similar repositories for 3D-ConvNets-for-Action-Recognition
Users that are interested in 3D-ConvNets-for-Action-Recognition are comparing it to the libraries listed below
Sorting:
- Focal Loss for multi-class classification☆55Updated 7 years ago
- Focal Loss implementation by Keras with TensorFlow backend☆42Updated 7 years ago
- It contains the Attention-56 and Attention-96 models built from scratch in keras. Residual Attention Networks are described in the paper …☆38Updated 7 years ago
- 3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)☆119Updated 6 years ago
- A method for Fine-Grained image classification☆41Updated 5 years ago
- Keras implementation of Residual Attention Network☆109Updated 7 years ago
- Learning Spatiotemporal Features using 3DCNN and Convolutional LSTM for Gesture Recognition☆62Updated 6 years ago
- This Pytorch repo uses BiConvLSTM in a Spatiotemporal Encoder to detect violence in Videos. Three benchmark datasets namely Hockey, Movie…☆37Updated 6 years ago
- PFNet: A Novel Part Fusion Network for Fine-grained Visual Categorization☆28Updated 6 years ago
- A Temporal 3D DNN for action recognition in videos☆17Updated 5 years ago
- Video Recognition using Mixed Convolutional Tube (MiCT) on PyTorch with a ResNet backbone☆56Updated 4 years ago
- here are some classic networks for image classification implement by pytorch☆12Updated 4 years ago
- ☆52Updated 5 years ago
- This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" , I support this repository…☆38Updated 6 years ago
- http://learnandshare645.blogspot.hk/2016/06/3d-cnn-in-keras-action-recognition.html☆70Updated 8 years ago
- sagieppel / Focusing-attention-of-Fully-convolutional-neural-networks-on-Region-of-interest-ROI-input-map-This project contains code for a fully convolutional neural network (FCN) for semantic segmentation with a region of interest (ROI) map a…☆48Updated 3 years ago
- use tensorflow slim to realize Class Activation Map in Googlenet☆45Updated 7 years ago
- Inflate 2dresnet to 3dresnet and use imagenet2d pretrain for train kinetics by tensorflow☆34Updated 6 years ago
- ☆73Updated 7 years ago
- tianchi competition，round1 24/2322，round2 45/2322☆15Updated 4 years ago
- RefineNet: a Keras implementation☆32Updated 5 years ago
- PyTorch implementation of RICAP (Random Image Cropping And Patching)☆39Updated 6 years ago
- A practical example on how to combine both a CNN and a RNN to classify images.☆53Updated 8 years ago
- http://openaccess.thecvf.com/content_cvpr_2017/papers/Fu_Look_Closer_to_CVPR_2017_paper.pdf☆35Updated 7 years ago
- Experiment with Res2Net. https://arxiv.org/abs/1904.01169☆13Updated 6 years ago
- deeplabv3plus (Google's new algorithm for semantic segmentation) in keras：Encoder-Decoder with Atrous Separable Convolution for Semantic …☆64Updated 7 years ago
- 3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)☆18Updated 8 years ago
- semantic segmentation with focal loss☆47Updated 7 years ago
- A pytorch implementation of paper "A multi-level attention network for fine-grained image classification"☆11Updated 6 years ago
- keras ImageDataGenerator example☆60Updated 7 years ago