模型 5
OpenGVLab/InternVideo2-Stage2_1B-224p-f4
This modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.
facebook/vjepa2-vitg-fpc64-256
A frontier video understanding model developed by FAIR, Meta, which extends the pretraining objectives of VJEPA, resulting in state-of-the-a…
facebook/vjepa2-vitl-fpc64-256
A frontier video understanding model developed by FAIR, Meta, which extends the pretraining objectives of VJEPA, resulting in state-of-the-a…
MCG-NJU/videomae-base
VideoMAE model pre-trained on Kinetics-400 for 1600 epochs in a self-supervised way. It was introduced in the paper VideoMAE: Masked Autoenc…
MCG-NJU/videomae-large
VideoMAE model pre-trained on Kinetics-400 for 1600 epochs in a self-supervised way. It was introduced in the paper VideoMAE: Masked Autoenc…