CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory
Zero-shot Object Detection
GitHub - roboflow/zero-shot-object-tracking: Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
GLIP: Introducing Language-Image Pre-Training to Object Detection | by Sascha Kirch | Towards Data Science
Free Course: Fast Zero Shot Object Detection with OpenAI CLIP from James Briggs | Class Central
Zero-shot Object Detection Through Vision-Language Embedding Alignment | Papers With Code
Zero Shot Object Detection with OpenAI's CLIP | Pinecone
Object Detection in the Wild via Grounded Language Image Pre-training - Microsoft Research
Paper Review: Cut and Learn for Unsupervised Object Detection and Instance Segmentation – Andrey Lukyanenko
Object Detection in the Wild via Grounded Language Image Pre-training - Microsoft Research
Guide To Simple Object Detection Using InceptionResnet_v2
ESP32-CAM Object Detection with Edge Impulse
CLIP Explained | Papers With Code
How Zero-shot Object Detection Changes Computer Vision Tasks in Business | Width.ai
The Ultimate Guide to Video Object Detection | by Victoria Mazo | Medium
Achieving Optimal Speed and Accuracy in Object Detection (YOLOv4) - PyImageSearch
Introduction to object detection with deep learning | SuperAnnotate
Object Tracking - Deepstash
How Zero-shot Object Detection Changes Computer Vision Tasks in Business | Width.ai
FastSAM (Fast Segment Anything Model) - Ultralytics YOLOv8 Docs
Zero-shot Image Classification with OpenAI CLIP and OpenVINO™ — OpenVINO™ documentationCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to ...
RegionCLIP Zero-Shot Object Detection Demo - a Hugging Face Space by CVPR
