Pytorch implementation of convolutional neural network visualization techniques
#计算机科学#Debugging, monitoring and visualization for Python Machine Learning and Data Science
#计算机科学#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
#计算机科学#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)
#计算机科学#(TPAMI2022) Salient Object Detection via Integrity Learning.
PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrcis
PySODEvalToolkit: A Python-based Evaluation Toolbox for Salient Object Detection and Camouflaged Object Detection
Pytorch Implementation of recent visual attribution methods for model interpretability
#计算机科学#Unified Image and Video Saliency Modeling (ECCV 2020)
Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)
#计算机科学#[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)
This Toolbox contains E-measure, S-measure, weighted F & F-measure, MAE and PR curves or bar metrics for salient object detection.