NEWVectors or files. Pick a path.Start →
    Models/Video Classification/CAIR-HKISI/SurgMotion-vitl
    Video Classificationpytorchapache-2.0

    SurgMotion-vitl

    by CAIR-HKISI

    Identifier
    Model ID
    CAIR-HKISI/SurgMotion-vitl

    Tags

    pytorchsurgmotionsurgical-videofoundation-modelvideo-understandingphase-recognitionv-jepavision-transformervideo-classificationendataset:SurgMotion-15Marxiv:2602.05638license:apache-2.0region:us

    Use SurgMotion-vitl on Mixpeek

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

    Open Studio

    How It Runs on Mixpeek

    On Mixpeek, SurgMotion-vitl 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.