Showing 2 open source projects for "corpora"

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    CutLER

    CutLER

    Code release for Cut and Learn for Unsupervised Object Detection

    ...The codebase provides training and inference scripts, model configs, and references to benchmarking results that report large gains over prior unsupervised baselines. It’s intended for researchers exploring self-supervised and unsupervised recognition, offering a practical path to scale beyond costly labeled corpora. The README links papers and gives a high-level overview of components and expected outputs, with pointers to demos and assets. The repository is actively starred and structured as a typical research release with license, contribution guidelines, and security policy.
    Downloads: 0 This Week
    Last Update:
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  • 2
    Detic

    Detic

    Code release for "Detecting Twenty-thousand Classes

    ...It decouples localization from classification, training a strong box localizer on standard detection data while learning classifiers from weak supervision and large image-tag corpora. A shared region proposal backbone feeds a flexible classification head that can expand to tens of thousands of categories without exhaustive box annotations. The system supports zero- or few-shot extension to novel categories via semantic embeddings and class name supervision, making “open-world” detection practical. Built on Detectron2, the repo includes configs, pretrained weights, and conversion tools to mix fully and weakly supervised sources. ...
    Downloads: 1 This Week
    Last Update:
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