DINO
Object Detector
An implementation of a deep learning-based object detection model with improved anchor boxes for end-to-end detection tasks.
[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
2k stars
32 watching
262 forks
Language: Python
last commit: about 2 years agoLinked from 1 awesome list
computer-visiondeep-learningobject-detection
Related projects:
| Repository | Description | Stars |
|---|---|---|
| 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. | 6,982 | |
| A PyTorch implementation of a self-supervised learning method for learning robust visual features without supervision. | 9,425 | |
| Image restoration toolbox with training and testing codes for various deep learning-based methods | 2,994 | |
| An implementation of DALL-E 2's text-to-image synthesis neural network in PyTorch | 11,184 | |
| An implementation of a deep learning network for human pose estimation using high-resolution representations | 4,354 | |
| Generates cartoon-style videos from two images using pre-trained diffusion models | 5,447 | |
| A collection of efficient AI backbone architectures developed by Huawei Noah's Ark Lab. | 4,098 | |
| Automated tree crown delineation from aerial imagery using deep learning | 170 | |
| An algorithm for restoring damaged or obscured faces in images | 36,009 | |
| An object detection implementation built on top of PyTorch, supporting multi-image batch training and multiple GPUs. | 7,721 | |
| An implementation of Faster R-CNN object detection in PyTorch, modified from DenseCap. | 85 | |
| A Python implementation of an image-to-image translation model for generating diverse images across multiple domains. | 3,513 | |
| A comprehensive repository of object detection papers and datasets using deep learning techniques | 11,335 | |
| A deep learning-based image segmentation framework that aims to develop highly accurate and robust models for segmenting binary images in various applications. | 2,298 | |
| Develops a deep learning model for large-scale object detection that leverages hybrid knowledge and routing mechanisms. | 105 |