koutilya-pnvr / BiConvLSTM_Violence_Detection
This Pytorch repo uses BiConvLSTM in a Spatiotemporal Encoder to detect violence in Videos. Three benchmark datasets namely Hockey, Movies and Violent Flows were used in this work.
☆37Updated 6 years ago
Alternatives and similar repositories for BiConvLSTM_Violence_Detection:
Users that are interested in BiConvLSTM_Violence_Detection are comparing it to the libraries listed below
- Pytorch implementation of StNet: Local and Global Spatial-Temporal Modeling for Action Recognition☆58Updated 5 years ago
- Use human pose information to help action recognition, explored with attention-pooling method, C3D method and two-stream architecture, im…☆18Updated 6 years ago
- Learning Spatiotemporal Features using 3DCNN and Convolutional LSTM for Gesture Recognition☆61Updated 6 years ago
- Two-Stream Convolutional Networks for Action Recognition in Videos☆47Updated 6 years ago
- An implementation of Video Transformer Network (VTN) approach for Action Recognition in TensorFlow.☆55Updated 4 years ago
- SmallBigNet: Integrating Core and Contextual Views for Video Classification (CVPR2020)☆41Updated 3 years ago
- Pytorch 3DNet attention feature map Visualization by [Cam](https://arxiv.org/abs/1512.04150); C3D, R3D, I3D, MF Net is support now!☆66Updated 4 years ago
- A Temporal 3D DNN for action recognition in videos☆17Updated 5 years ago
- 3D ConvNets for Action Recognition with Keras (3d ResNet, 3d DenseNet, 3d Inception, C3D, 3d dense resnet)☆42Updated 6 years ago
- for action recognition in videos☆43Updated 7 years ago
- AVSS violence recognition in pytorch☆70Updated 6 years ago
- implementation of the paper 'SlowFast Networks for Video Recognition ' with Pytorch☆27Updated 5 years ago
- A PyTorch implementation of R2Plus1D and C3D based on CVPR 2017 paper "A Closer Look at Spatiotemporal Convolutions for Action Recognitio…☆60Updated 5 years ago
- This is an i3d version which can be used to finetune on other video dataset.☆41Updated 6 years ago
- Use 3D ResNet to extract features of UCF101 and HMDB51 and then classify them.☆41Updated 6 years ago
- [ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding☆21Updated 4 years ago
- Code for paper: Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition☆28Updated 2 years ago
- Unofficial implementation of Convolutional Block Attention Module (CBAM)☆100Updated 6 years ago
- A implementation of "SlowFast Networks for Video Recognition" with tf.keras☆50Updated 6 years ago
- Spatiotemporal-separable 3D convolution network.☆117Updated 6 years ago
- Inflated 3D ConvNets for video understanding☆49Updated last year
- Action Recognition in Video Sequences using Deep Bi-directional LSTM with CNN Features☆45Updated last year
- TensorFlow implementation for video classification.☆41Updated 6 years ago
- ☆90Updated 6 years ago
- This is a pytorch type of block,including Non-local block,Simple Non-local block,GC block and all GC block; refer to paper《GCNet: Non-lo…☆83Updated 4 years ago
- V4D: 4D Convolutional Neural Networks for Video-level Representation Learning☆68Updated 4 years ago
- Optical Flow Guided Feature for Action Recognition-Pytorch☆18Updated 5 years ago
- some famous works and new content to be added☆147Updated 7 years ago
- Three steps to train your own model for action recognition based on CNN and LSTM by PyTorch.☆88Updated 11 months ago
- Train I3D model on ucf101 or hmdb51 by tensorflow☆111Updated 6 years ago