1 project for "texture" with 2 filters applied:

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    JEPA

    JEPA

    PyTorch code and models for V-JEPA self-supervised learning from video

    ...A context encoder ingests visible regions and predicts target embeddings for masked regions produced by a separate target encoder, avoiding low-level reconstruction losses that can overfit to texture. This makes learning focus on semantics and structure, yielding features that transfer well with simple linear probes and minimal fine-tuning. The repository provides training recipes, data pipelines, and evaluation utilities for image JEPA variants and often includes ablations that illuminate which masking and architectural choices matter. ...
    Downloads: 2 This Week
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