WebJul 11, 2024 · Towards more descriptive and distinctive caption generation, we propose to use CLIP, a multi-modal encoder trained on huge image-text pairs from the web, to calculate the multimodal similarity and use it as a reward function. We also propose a simple CLIP finetuning strategy to improve grammar that does not require extra text annotation. WebCLIP (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 …
How CLIP is changing computer vision as we know it
WebClipCap: Easily generate text descriptions for images using CLIP and GPT! 11 1 r/deeplearning Join • 23 days ago This is how a simplest neural network learns. read the first comment for further details 123 24 r/deeplearning Join • 13 days ago Angle Tracking for Football using Python and Mediapipe 128 16 r/MachineLearning Join • 28 days ago WebToward more descriptive and distinctive caption generation, we propose using CLIP, a multimodal encoder trained on huge image-text pairs from web, to calculate multimodal similarity and use it as a reward function. We also propose a simple finetuning strategy of the CLIP text encoder to improve grammar that does not require extra text annotation. cf 177
Generalized Visual Language Models Lil
WebApr 7, 2024 · Towards more descriptive and distinctive caption generation, we propose to use CLIP, a multimodal encoder trained on huge image-text pairs from the web, to … WebMay 26, 2024 · Toward more descriptive and distinctive caption generation, we propose using CLIP, a multimodal encoder trained on huge image-text pairs from web, to calculate multimodal similarity and use it as a reward function. We also propose a simple finetuning strategy of the CLIP text encoder to improve grammar that does not require extra text … WebApr 13, 2024 · Contrastive models like CLIP have been shown to learn robust representations of images that capture both semantics and style. To leverage these representations for image generation, we propose a two-stage model: a prior that generates a CLIP image embedding given a text caption, and a decoder that generates an image … cf1775f