# Video Anomaly Detection
Vivit B 16x2 Kinetics400 UCF Crime Finetuned AbnormalVideosOnly
MIT
This model is a video classification model based on the ViViT architecture, specifically fine-tuned for anomaly video detection tasks
Video Processing
Transformers

V
Prabesh06
15
0
Videomae Base Finetuned Ucf Crimevbinary Balancedv6
A video analysis model fine-tuned based on MCG-NJU/videomae-base, specializing in anomaly behavior detection tasks
Video Processing
Transformers

V
shahadalll
133
0
Videomae Base Finetuned Ucfcrime Full
A video classification model fine-tuned on the UCF-CRIME dataset based on the VideoMAE framework, focusing on vandalism detection
Video Processing
Transformers

V
archit11
85
0
Vivit B 16x2 Kinetics400 UCF Crime
MIT
This model is a fine-tuned version of google/vivit-b-16x2-kinetics400 on the UCF-Crime dataset for video anomaly detection tasks.
Video Processing
Transformers

V
prathameshdalal
506
1
Videomae Base Finetuned Ssv2 Finetuned Ucfcrime Ep10
Video understanding model based on VideoMAE architecture, pre-trained on SSv2 dataset and fine-tuned for UCF-Crime dataset
Video Processing
Transformers

V
Tejdeep
243
1
Videomae Base Finetuned Ucf Crime2
A video analysis model based on the VideoMAE base model fine-tuned on the UCF-Crime dataset for abnormal behavior detection
Video Processing
Transformers

V
shazab
16
1
Videomae Base Finetuned Ucf Crime
A video analysis model fine-tuned on the UCF-Crime dataset based on the VideoMAE foundation model
Video Processing
Transformers

V
rahulbarua
18
0
UCF Crime
Apache-2.0
This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset, suitable for vision tasks.
Image Classification
Transformers

U
csr2000
46
2
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