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In text-to-image retrieval, users input descriptive text, and CLIP retrieves images with matching embeddings. In image-to-text retrieval , images are used to find related text content. CLIP’s ability to connect visual and textual data has found applications in multimedia search, content discovery, and recommendation systems.
Contrastive Language-Image Pre-training (CLIP) allows joint pretraining of a text encoder and an image encoder, such that a matching image-text pair have image encoding vector and text encoding vector that span a small angle (having a large cosine similarity).
Contrastive linguistics, since its inception by Robert Lado in the 1950s, has often been linked to aspects of applied linguistics, e.g., to avoid interference errors in foreign-language learning, as advocated by Di Pietro (1971) [1] (see also contrastive analysis), to assist interlingual transfer in the process of translating texts from one ...
Revealed in 2021, CLIP (Contrastive Language–Image Pre-training) is a model that is trained to analyze the semantic similarity between text and images. It can notably be used for image classification. [222]
That development led to the emergence of large language models such as BERT (2018) [28] which was a pre-trained transformer (PT) but not designed to be generative (BERT was an "encoder-only" model). Also in 2018, OpenAI published Improving Language Understanding by Generative Pre-Training, which introduced GPT-1, the first in its GPT series. [29]
The majority of the studies done on contrast and contrastive relations in semantics has concentrated on characterizing exactly which semantic relationships could give rise to contrast. Earliest studies in semantics also concentrated on identifying what distinguished clauses joined by and from clauses joined by but .
A contrastive distribution in linguistics is a relationship between two or more different elements which can appear in the same context, but cause a change in meaning when one is substituted for another in that context. A contrastive distribution is demonstrated with a minimal pair.
X. Fang and J. Xue-mei (2007) pointed out that contrastive analysis hypothesis claimed that the principal barrier to second language acquisition is the interference of the first language system with the second language system and that a scientific, structural comparison of the two languages in question would enable people to predict and ...