SMAC
SOD algorithm
A Python implementation of a salient object detection algorithm utilizing RGB-D data
ReDWeb-S: a large-scale challenging dataset for RGB-D Salient Object Detection.
45 stars
3 watching
4 forks
Language: Python
last commit: about 1 year ago Related projects:
Repository | Description | Stars |
---|---|---|
jingzhang617/cascaded_rgbd_sod | An implementation of RGB-D saliency detection using a cascaded mutual information minimization approach | 59 |
angknpng/sacnet | A software framework implementing an alignment-free RGBT salient object detection algorithm using a semantics-guided asymmetric correlation network | 10 |
shengcao-cao/hassod | Develops a neural network architecture for object detection and instance segmentation without labeled data | 52 |
jiwei0921/rgbd-sod-datasets | A collection of RGB-D Saliency Datasets and evaluation metrics for salient object detection | 64 |
zzhanghub/eval-co-sod | An evaluation tool for co-saliency detection tasks | 97 |
jiwei0921/dmra | A Python implementation of a depth-induced multi-scale recurrent attention network for RGB-D saliency detection | 105 |
jingzhang617/cod-rank-localize-and-segment | Develops a system to detect, segment, and rank camouflaged objects in images. | 74 |
zhangludl/code-and-dataset-for-capsal | Provides code and datasets for a saliency object detection method that leverages captioning to improve accuracy | 50 |
shaoqingren/spp_net | Re-implementation of an object detection algorithm described in the ECCV 2014 paper Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition. | 364 |
szq0214/dsod | A deep learning-based object detection system from scratch | 706 |
shi-labs/gfr-dsod | Improving Object Detection from Scratch via Gated Feature Reuse | 65 |
hszhao/semseg | A PyTorch implementation of semantic segmentation models with support for multiprocessing training and various backbones. | 1,347 |
zed-0xff/zsteg | Detects hidden data in images using various steganography techniques | 1,333 |
skyhehe123/sa-ssd | A deep learning model that uses 3D point cloud data to improve the precision of single-stage object detection in autonomous vehicles. | 492 |
rahulkidambi/accsgd | An implementation of the Accelerated SGD algorithm in PyTorch | 215 |