GroundingDINO
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
AI summary
Open-world detector
An implementation of an object detection model designed to work in open-world scenarios with the ability to detect and recognize objects based on language descriptions.
- stars
- 7K
- forks
- 711
- watching
- 43
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Object Detector
An implementation of a deep learning-based object detection model with improved anchor boxes for end-to-end detection tasks.
Visual feature learner
A PyTorch implementation of a self-supervised learning method for learning robust visual features without supervision.
Object groundings model
An implementation of a computer vision model that grounds objects in images using natural language queries.
Image grounding model
An implementation of a deep learning model for grounding situation recognition in images
Face restoration
An algorithm for restoring damaged or obscured faces in images
Object Detector
An implementation of a deep learning-based object detection system in PyTorch.
Image restoration toolkit
Image restoration toolbox with training and testing codes for various deep learning-based methods
Video generator
This project generates animated videos from open-domain images by leveraging pre-trained video diffusion priors.
Image Colorizer
A system for automatically colorizing black and white images with user interactions.
thu-mig/yolov1010.1K
Object Detector
Real-time object detection using a neural network architecture
AI backbones
A collection of efficient AI backbone architectures developed by Huawei Noah's Ark Lab.
Object ReID baseline
A PyTorch implementation of an Object Re-ID baseline with various training methods and architectures
CV tutorials
This repository contains tutorials and examples on using state-of-the-art computer vision models and techniques
RL Agent Trainer
Trains an RL agent to execute natural language instructions in a 3D environment using a combination of A3C and gated attention mechanisms.
Multimodal model trainer
A framework for training large multimodal models to generate text conditioned on images or other text.
Featured in 1 awesome list
Each link jumps to the spot where the list mentions GroundingDINO.
