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Video Feature Extraction

# Video Feature Extraction

Videomaev2 Giant
VideoMAEv2-giant is an ultra-large-scale video classification model based on self-supervised learning, employing a dual masking strategy for pretraining.
Video Processing
V
OpenGVLab
1,071
4
Videomaev2 Huge
VideoMAEv2-Huge is a self-supervised learning-based video feature extraction model, pre-trained for 1200 epochs on the UnlabeledHybrid-1M dataset.
Video Processing
V
OpenGVLab
1,145
1
Videomae Base
VideoMAE is a video self-supervised pretraining model based on Masked Autoencoder (MAE), which learns internal video representations by predicting pixel values of masked video patches.
Video Processing Transformers
V
MCG-NJU
48.66k
45
Videomae Large
VideoMAE is a video self-supervised pre-training model based on Masked Autoencoder (MAE), which learns video representations by predicting pixel values of masked video patches
Video Processing Transformers
V
MCG-NJU
3,243
31
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