The summary of code and paper for salient object detection with deep learning.

A collection of some datasets for segmentation / saliency detection. Welcome to PR...:smile:

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

📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.

Codes for the AAAI 2020 paper "F3Net: Fusion, Feedback and Focus for Salient Object Detection"

PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrics

PySODEvalToolkit: A Python-based Evaluation Toolbox for Salient Object Detection and Camouflaged Object Detection

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”

Unified Image and Video Saliency Modeling (ECCV 2020)

Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection, CVPR 2022

This Toolbox contains E-measure, S-measure, weighted F & F-measure, MAE and PR curves or bar metrics for salient object detection.

Codes for the CVPR2020 paper "Label Decoupling Framework for Salient Object Detection"

Code for the IJCAI 2018 paper "R^3Net: Recurrent Residual Refinement Network for Saliency Detection"

Global Context-Aware Progressive Aggregation Network 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]

(ECCV 2020) Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection