# Video Classification
Videomae Small Finetuned Kinetics
VideoMAE is a masked autoencoder model for video, pretrained with self-supervision and fine-tuned on the Kinetics-400 dataset, suitable for video classification tasks.
Video Processing
Transformers

V
MCG-NJU
2,152
1
Vivit B 16x2 Kinetics400
MIT
ViViT is an extension of the Vision Transformer (ViT) for video processing, particularly suitable for video classification tasks.
Video Processing
Transformers

V
google
56.94k
32
Vivit B 16x2
MIT
ViViT is an extension of the Vision Transformer (ViT) for video processing, primarily used for downstream tasks such as video classification.
Video Processing
Transformers

V
google
989
11
Timesformer Hr Finetuned K400
TimeSformer is a video understanding model based on spatio-temporal attention mechanisms, pre-trained and fine-tuned on the Kinetics-400 dataset.
Video Processing
Transformers

T
facebook
178
2
Xclip Base Patch16 Ucf 16 Shot
MIT
X-CLIP is an extended version of CLIP for general video-language understanding, supporting zero-shot, few-shot, or fully supervised video classification tasks.
Video Processing
Transformers English

X
microsoft
92
2
Xclip Base Patch16 Ucf 8 Shot
MIT
X-CLIP is a minimalist extension of CLIP for general video-language understanding, trained contrastively on (video, text) pairs, suitable for zero-shot, few-shot, or fully supervised video classification as well as video-text retrieval tasks.
Video Processing
Transformers English

X
microsoft
16
0
Xclip Base Patch16 Hmdb 16 Shot
MIT
X-CLIP is an extended version of CLIP for general video-language understanding, supporting video classification and video-text retrieval tasks.
Video Processing
Transformers English

X
microsoft
49
0
Xclip Base Patch16 Hmdb 2 Shot
MIT
X-CLIP is an extended version of CLIP for general video-language understanding, trained via contrastive learning on video-text pairs, supporting zero-shot, few-shot, and fully supervised video classification tasks.
Text-to-Video
Transformers English

X
microsoft
19
0
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