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"

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

Neural network visualization toolkit for tf.keras

CVPR2020, Multi-scale Interactive Network for Salient Object Detection

Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model. IEEE Transactions on Image Processing (2018)

(TPAMI2022) Salient Object Detection via Integrity Learning.

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

Detect model's attention

Pytorch Implementation of recent visual attribution methods for model interpretability

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

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

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

Unified Image and Video Saliency Modeling (ECCV 2020)

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)