Group images by provided labels using OpenAI/CLIP
-
Updated
Jun 10, 2023 - Python
Group images by provided labels using OpenAI/CLIP
Searching Images: From Clip And Beyond
use SAM and OpenCLIP to perform zero-shot object detection using COCO 2017 val split.
Clipora is a powerful toolkit for fine-tuning OpenCLIP models using Low Rank Adapters (LoRA).
A goal-oriented planning to lift VLN performance for Closed-Loop Navigation: Simple, Yet Effective
Text-to-image search with OpenCLIP, Docker, Flask, Faiss, etc. and a basic front-end.
CLIP based Zero Shot Instance Segmentation
Using Segment-Anything and CLIP to generate pixel-aligned semantic features.
Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)
Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️
Add a description, image, and links to the openclip topic page so that developers can more easily learn about it.
To associate your repository with the openclip topic, visit your repo's landing page and select "manage topics."