saliency

Pytorch implementation of convolutional neural network visualization techniques

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

Code for our CVPR 2019 paper "A Simple Pooling-Based Design for Real-Time Salient Object Detection"

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

Official implementation of Score-CAM in PyTorch

Salient Object Detection in the Deep Learning Era: An In-Depth Survey

RGB-D Salient Object Detection: A Survey

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

Neural network visualization toolkit for tf.keras

CVPR2020, Multi-scale Interactive Network for Salient Object Detection

[IEEE TIP 2018] Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model

Detect model's attention

A python toolbox for computing image saliency

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

(TPAMI2022) Salient Object Detection via Integrity Learning.

Unified Image and Video Saliency Modeling (ECCV 2020)

Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)

Pytorch Implementation of recent visual attribution methods for model interpretability

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