eval-co-sod
Evaluation toolkit
An evaluation tool for co-saliency detection tasks
PyTorch-Based Evaluation Tool for Co-Saliency Detection
96 stars
3 watching
28 forks
Language: Python
last commit: almost 4 years ago aucaverage-precisionco-saliencye-measureevaluationf-measuremaemean-absolute-errorpr-curvepythonpytorchroc-curves-measuresalient-object-detection
Related projects:
| Repository | Description | Stars |
|---|---|---|
 lartpang/pysodevaltoolkit | A comprehensive Python toolbox for evaluating salient object detection and camouflaged object detection tasks | 167 |
 nnizhang/smac | A Python implementation of a salient object detection algorithm utilizing RGB-D data | 45 |
 zhangludl/code-and-dataset-for-capsal | Provides code and datasets for a saliency object detection method that leverages captioning to improve accuracy | 50 |
 kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,217 |
 wenguanwang/sodsurvey | Comprehensive resource providing saliency maps and evaluation tools for various deep learning-based salient object detection methods. | 383 |
 tianhongdai/integrated-gradient-pytorch | A PyTorch implementation of attributing the impact of inputs on deep neural network outputs | 181 |
 yu-changqian/torchseg | A toolkit for building and training semantic segmentation models using PyTorch. | 1,408 |
 clvoloshin/cobs | A toolkit for evaluating and analyzing off-policy policy estimation methods in reinforcement learning | 61 |
 zhanghang1989/pytorch-encoding | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,041 |
 chenyuntc/dsod.pytorch | An implementation of the Deep Supervised Object Detector from scratch using PyTorch. | 70 |
 hszhao/semseg | A PyTorch implementation of semantic segmentation models with support for multiprocessing training and various backbones. | 1,343 |
 angknpng/sacnet | A framework for detecting salient objects in RGB-T images using an alignment-free approach and a unified benchmark. | 9 |
 gzcch/bingo | An analysis project investigating limitations of visual language models in understanding and processing images with potential biases and interference challenges. | 53 |
 yi94code/hrsod | This software implementation contains pre-computed saliency maps and source code for a high-resolution salient object detection algorithm. | 69 |
 truskovskiyk/nima.pytorch | Assesses and evaluates images using deep learning models | 335 |