SODsurvey
SOD Survey
An in-depth survey of salient object detection methods and their evaluation using various metrics.
Salient Object Detection in the Deep Learning Era: An In-Depth Survey
384 stars
10 watching
69 forks
last commit: about 4 years ago saliencysaliency-mapssaliency-predictionsalient-object-detectionsodsurveyvisual-attention
Related projects:
Repository | Description | Stars |
---|---|---|
| A collection of RGB-D Saliency Datasets and evaluation metrics for salient object detection | 64 |
| An approach to improving pedestrian detection from thermal images using saliency maps and deep learning techniques. | 38 |
| Provides code and datasets for a saliency object detection method that leverages captioning to improve accuracy | 50 |
| This software implementation contains pre-computed saliency maps and source code for a high-resolution salient object detection algorithm. | 69 |
| A Python implementation of a depth-induced multi-scale recurrent attention network for RGB-D saliency detection | 105 |
| A software framework implementing an alignment-free RGBT salient object detection algorithm using a semantics-guided asymmetric correlation network | 10 |
| An evaluation tool for co-saliency detection tasks | 97 |
| This project proposes a solution to predict salient areas in images using convolutional neural networks. | 186 |
| An implementation of RGB-D saliency detection using a cascaded mutual information minimization approach | 59 |
| An algorithm to generate saliency maps from black-box models by querying multiple masked versions of input | 157 |
| A library for finding interest points in images using integral histograms and entropy-based saliency | 7 |
| A Python implementation of a salient object detection algorithm utilizing RGB-D data | 45 |
| A large dataset of human matting images and corresponding results for training person segmentation models. | 615 |
| A library providing an implementation of various metrics for object segmentation and saliency detection in computer vision. | 150 |
| A deep learning-based object detection system from scratch | 706 |