An open source implementation of CLIP. Contribute to mlfoundations/open_clip development by creating an account on GitHub.

Contrastive Language-Image Pre-Training (CLIP) model excels in traditional person re-identification (ReID) tasks due to its inherent advantage in generating textual descriptions for pedestrian images.

A new clip from Superman shows the Man of Steel confronting Lex Luthor about Krypto’s disappearance, and I’m feeling violent towards the arch-nemesis.

Distinct from simple supervised contrastive learning, the hierarchical contrastive loss imposes level-specific structural constraints to control the relative distances between the reaction embeddings.

Statistical attention uses the Laplace operator and lower quantile to select and enhance active features within each modal feature clip. Contrastive attention calculates the information gain of active ...

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