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CLIP (Contrastive Language-Image Pre-Training) is a neural network trained on a variety of (image, text) pairs. It can be instructed in natural language to predict the most relevant text snippet, given an image, without directly optimizing for the task, similarly to the zero-shot capabilities of GPT-2 and 3.
This repository contains code to train CLIP on MS-COCO captions. Can be easily modified to train on other multi-modal datasets (OpenImages, Conceptual captions, ...).
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CLIP is the first multimodal (in this case, vision and text) model tackling computer vision and was recently released by OpenAI on January 5, 2021. From the OpenAI CLIP repository, "CLIP (Contrastive Language-Image Pre-Training) is a neural network trained on a variety of (image, text) pairs.
CLIP learns a multi-modal embedding space by jointly training an image encoder and text encoder to maximize the cosine similarity of the image and text embeddings of the $N$ real pairs in the batch while minimizing the cosine similarity of the embeddings of the $N^2 - N$ incorrect pairings.
28 Ιαν 2023 · CLIP is a neural network trained on a variety of image and text pairs. It essentially creates a shared embedding space for images and text, meaning that you could use it to find the most relevant...
11 Οκτ 2024 · File handling in C is the process in which we create, open, read, write, and close operations on a file. C language provides different functions such as fopen (), fwrite (), fread (), fseek (), fprintf (), etc. to perform input, output, and many different C file operations in our program.
