# DIVAFN

Homepage: https://yangliu9208.github.io/home/

## Network architecture

Figure 1: Configuration of the deep neural network for image modality. “f” denotes the number of convolutional filters and their receptive field size, “st” denotes the convolutional stride, “pad” denotes the number of pixels to add to each size of the input, “LRN” denotes whether Local Response Normalization (LRN) is applied or not, and “pool” denotes the downsampling factor.

Figure 2: Configuration of the deep neural network for keyframe modality.

Figure 3: Configuration of the deep neural network for video modality

## Algorithm

## Datasets

Stanford40->UCF101 dataset can be downloaded here. Stanford40

ASD->UCF101 dataset can be downloaded here. ASD

EAD->HMDB51 dataset can be downloaded here. EAD, HMDB51

BU101->UCF101 dataset can be downloaded here. BU101, UCF101

## Codes

Soon will be available.