Shypd.aiThe largest open index of AI toolsSOLIDER is an Open Source & Models tool that provides a Semantic Controllable Self-Supervised Learning Framework for human representation. It learns general human representations from massive unlabeled human images, benefiting various downstream human-centric tasks.
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SOLIDER is a Semantic Controllable Self-Supervised Learning Framework designed to learn general human representations from large datasets of unlabeled human images. Unlike existing self-supervised learning methods, SOLIDER incorporates prior knowledge from human images to build pseudo semantic labels, enriching the learned representation with more semantic information. It also features a conditional network with a semantic controller, allowing it to adapt to different downstream tasks that require varying ratios of semantic and appearance information. This flexibility ensures that the learned representations can benefit a wide range of human-centric visual tasks, including person re-identification, person search, pedestrian detection, attribute recognition, human parsing, and pose estimation. The framework is implemented with Python and PyTorch, utilizing Swin-Transformer as its backbone.
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