From 3c2353fa962b0938ffb9d203b06fc066f8362323 Mon Sep 17 00:00:00 2001 From: Jael Gu Date: Wed, 18 Sep 2024 13:26:38 +0800 Subject: [PATCH] Add more resources Signed-off-by: Jael Gu --- README.md | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/README.md b/README.md index 25485a9..401e0bb 100644 --- a/README.md +++ b/README.md @@ -92,3 +92,14 @@ and a corresponding vector in numpy.ndarray given a video input data. ​ A tuple of (labels, scores, features), which contains lists of predicted class names and corresponding scores. + + +# More Resources + +- [Computer Vision with FiftyOne | Milvus & Zilliz Cloud](https://zilliz.com/product/integrations/FiftyOne): nan +- [What is a Convolutional Neural Network? An Engineer's Guide](https://zilliz.com/glossary/convolutional-neural-network): Convolutional Neural Network is a type of deep neural network that processes images, speeches, and videos. Let's find out more about CNN. +- [Building a Video Analysis System with Milvus Vector Database - Zilliz blog](https://zilliz.com/blog/milvus-helps-analyze-videos-intelligently): Learn how Milvus powers the AI analysis of video content. +- [Multimodal RAG with Milvus and GPT-4o](https://zilliz.com/event/multimodal-rag-with-milvus-and-gpt-4o): Join us for a webinar for a demo of multimodal RAG with Milvus and GPT-4o +- [4 Steps to Building a Video Search System - Zilliz blog](https://zilliz.com/blog/building-video-search-system-with-milvus): Searching for videos by image with Milvus +- [What are Vision Transformers (ViT)? - Zilliz blog](https://zilliz.com/learn/understanding-vision-transformers-vit): Vision Transformers (ViTs) are neural network models that use transformers to perform computer vision tasks like object detection and image classification. +- [Everything You Need to Know About Zero Shot Learning - Zilliz blog](https://zilliz.com/learn/what-is-zero-shot-learning): A comprehensive guide to Zero-Shot Learning, covering its methodologies, its relations with similarity search, and popular Zero-Shot Classification Models. \ No newline at end of file