HRSOD
by yi94code
AI summary
Salient Object Detector
This software implementation contains pre-computed saliency maps and source code for a high-resolution salient object detection algorithm.
- stars
- 69
- forks
- 13
- watching
- 8
Similar projects
Found by comparing what the projects do, not just their names.
Saliency detector
A Python implementation of a depth-induced multi-scale recurrent attention network for RGB-D saliency detection
Saliency detector
Provides code and datasets for a saliency object detection method that leverages captioning to improve accuracy
Salient Object Detector
A toolbox for detecting salient objects in RGBD images using a combination of contrast and pyramid integration techniques
Saliency-based detection
An approach to improving pedestrian detection from thermal images using saliency maps and deep learning techniques.
salient object detector
An implementation of instance-level salient object segmentation using the MSRNet architecture
RGB-D datasets
A collection of RGB-D Saliency Datasets and evaluation metrics for salient object detection
SOD Survey
An in-depth survey of salient object detection methods and their evaluation using various metrics.
Salient detector
A MATLAB implementation of a salient object detection algorithm
RGB saliency detector
An implementation of RGB-D saliency detection using a cascaded mutual information minimization approach
Object detector
Develops a neural network architecture for object detection and instance segmentation without labeled data
RGBT detector suite
A collection of resources and tools for RGBT salient object detection in image processing
szq0214/dsod706
Object Detector
A deep learning-based object detection system from scratch
Hyperspectral Image Dataset
Provides a dataset and tools for testing salient object detection models on hyperspectral images
Object detector
A Python-based object detection framework utilizing transformers and computer vision techniques to detect salient objects in RGB-thermal images
Object detector
A deep learning model that uses 3D point cloud data to improve the precision of single-stage object detection in autonomous vehicles.
