SG
by shangcai1
CVPR2021:Self-generated Defocus Blur Detection via Dual Adversarial Discriminators
AI summary
Defocus detector
An implementation of an image defocus blur detection system using adversarial discriminators
- stars
- 23
- forks
- 11
- watching
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Blur detector
A deep learning-based system for detecting and classifying blur in images
Defocus detection software
Develops a method to automatically detect and estimate defocus blur in images
Image deblur tool
Develops a deep learning-based method to detect and remove defocus blur from images
Object detection method
An approach to reduce object hallucinations in large vision-language models by contrasting output distributions derived from original and distorted visual inputs
Data generator
This project provides tools and models to generate realistic data for camera systems with defocus blur, aiming to improve image deblurring techniques.
Object detector
Re-implementation of an object detection algorithm described in the ECCV 2014 paper Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition.
Defocus estimator
An image processing algorithm for estimating the defocus of an image
Object detector
Develops a system to detect, segment, and rank camouflaged objects in images.
Object detector
A Caffe-based implementation of A-Fast-RCNN, a method for object detection using adversarial networks.
Image deblurring software
Implementation of an algorithm for single image deblurring in images with defocus blur
Object detector
Develops a neural network architecture for object detection and instance segmentation without labeled data
Salient Object Detector
A toolbox for detecting salient objects in RGBD images using a combination of contrast and pyramid integration techniques
Image deblurring model
Developing a deep learning model to correct blurry images caused by camera shake or out-of-focus
Image deblurring method
Deblurring technique developed using machine learning and signal processing algorithms to restore images from blurry conditions.
Facial landmark detector
A framework for robust facial landmark detection in motion-blurred videos using structure consistency and geometry priors.
