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    Models/Video Classification/jai1th/dvf_trained_transferred_aegis
    Video Classificationpytorchcc-by-nc-4.0

    dvf_trained_transferred_aegis

    by jai1th

    Identifier
    Model ID
    jai1th/dvf_trained_transferred_aegis

    Tags

    pytorchr2plus1d_supcondeepfake-detectionai-generated-video-detectionsupervised-contrastive-learningr2plus1dcross-datasetretentionvideo-classificationarxiv:2410.23623arxiv:2405.19707arxiv:2508.10771license:cc-by-nc-4.0region:us

    Use dvf_trained_transferred_aegis on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

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    How It Runs on Mixpeek

    On Mixpeek, dvf_trained_transferred_aegis runs as a managed extractor inside a processing pipeline. Point a bucket of video classification data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.