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

This is tensorflow implementation for cvpr2017 paper "Deeply Supervised Salient Object Detection with Short Connections"

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

PyTorch implementation of the CVPR 2019 paper “Pyramid Feature Attention Network for Saliency Detection”

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

Unified Image and Video Saliency Modeling (ECCV 2020)

Video Salient Object Detection via Fully Convolutional Networks (TIP18)

Pytorch Implementation of PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection

(CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"

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

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

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

CVPR2020, Multi-scale Interactive 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.

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

Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection

Global Context-Aware Progressive Aggregation Network for Salient Object Detection

Deep Visual Attention Prediction (TIP18)

Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation

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