HS-SOD
Hyperspectral Image Dataset
Provides a dataset and tools for testing salient object detection models on hyperspectral images
HyperSpectral Salient Object Detection Dataset
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Repository | Description | Stars |
---|---|---|
| A collection of RGB-D Saliency Datasets and evaluation metrics for salient object detection | 64 |
| Provides hyperspectral and soil-moisture data from a field campaign | 43 |
| This software implementation contains pre-computed saliency maps and source code for a high-resolution salient object detection algorithm. | 69 |
| A framework for training and deploying hyperspectral machine learning models for methane plume detection from satellite imagery | 44 |
| Object detection using Caffe-based Single Shot MultiBox Detector on satellite imagery data | 57 |
| A Python implementation of a salient object detection algorithm utilizing RGB-D data | 45 |
| Develops a neural network architecture for object detection and instance segmentation without labeled data | 52 |
| MATLAB implementation of a sparse representation classifier using SOMP for hyperspectral image classification | 43 |
| A dataset of RGBD images used to train and evaluate co-saliency detection models. | 4 |
| Matlab implementation of a deep learning-based method for classifying hyperspectral images | 56 |
| Detects anomalies in hyperspectral images using an autoencoder-based approach | 45 |
| An in-depth survey of salient object detection methods and their evaluation using various metrics. | 384 |
| Improving Object Detection from Scratch via Gated Feature Reuse | 65 |
| An implementation of RGB-D saliency detection using a cascaded mutual information minimization approach | 59 |
| A library for finding interest points in images using integral histograms and entropy-based saliency | 7 |