The summary of code and paper for salient object detection with deep learning.
#数据仓库#A collection of some datasets for segmentation / saliency detection. Welcome to PR...😄
This is tensorflow implementation for cvpr2017 paper "Deeply Supervised Salient Object Detection with Short Connections"
(CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"
CVPR2020, Multi-scale Interactive Network for Salient Object Detection
Codes for the AAAI 2020 paper "F3Net: Fusion, Feedback and Focus for Salient Object Detection"
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
#计算机科学#Pytorch Implementation of PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection
PyTorch implementation of the CVPR 2019 paper “Pyramid Feature Attention Network for Saliency Detection”
PySODEvalToolkit: A Python-based Evaluation Toolbox for Salient Object Detection and Camouflaged Object Detection
PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrcis
#计算机科学#Unified Image and Video Saliency Modeling (ECCV 2020)
Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection, CVPR 2022
Code for the IJCAI 2018 paper "R^3Net: Recurrent Residual Refinement Network for Saliency Detection"
Codes for the CVPR2020 paper "Label Decoupling Framework for Salient Object Detection"
Global Context-Aware Progressive Aggregation Network for Salient Object Detection
This Toolbox contains E-measure, S-measure, weighted F & F-measure, MAE and PR curves or bar metrics for salient object detection.
Video Salient Object Detection via Fully Convolutional Networks (TIP18)
Code for ICCV 2019 paper. "Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection". [RGB-D Salient Object Detection]
#计算机科学#Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation