F-VLM: Open-vocabulary object detection upon frozen vision and language models – Google Research Blog
RegionCLIP Zero-Shot Object Detection Demo - a Hugging Face Space by CVPR
FastSAM (Fast Segment Anything Model) - Ultralytics YOLOv8 Docs
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
Fine-tuning CLIP for image object detection. · Issue #252 · openai/CLIP · GitHub
GitHub - roboflow/zero-shot-object-tracking: Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
CLIP Explained | Papers With Code
F-VLM: Open-vocabulary object detection upon frozen vision and language models – Google Research Blog
Zero-shot Object Detection
The Ultimate Guide to Video Object Detection | by Victoria Mazo | Medium
What Can Human Sketches Do for Object Detection? – arXiv Vanity
Lang Segment Anything – Object Detection and Segmentation With Text Prompt - Lightning AI
How to auto-label images with OWL-ViT - SOTA Google's foundation object detector - Supervisely
Detect Object by Text Prompting using GLIP | Object Detection | GLIP | Karndeep Singh - YouTube
Achieving Optimal Speed and Accuracy in Object Detection (YOLOv4) - PyImageSearch
Automated recognition of objects and types of forceps in surgical images using deep learning | Scientific Reports
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory
How Zero-shot Object Detection Changes Computer Vision Tasks in Business | Width.ai
How to Try CLIP: OpenAI's Zero-Shot Image Classifier
Object Detection in the Wild via Grounded Language Image Pre-training - Microsoft Research
Zero Shot Object Detection with OpenAI's CLIP | Pinecone
How Zero-shot Object Detection Changes Computer Vision Tasks in Business | Width.ai
Zero Shot Object Detection with OpenAI's CLIP | Pinecone
GLIP: Introducing Language-Image Pre-Training to Object Detection | by Sascha Kirch | Towards Data Science
