Pytorch implementation of convolutional neural network visualization techniques

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

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

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

Pytorch Implementation of recent visual attribution methods for model interpretability

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

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

CVPR2020, Multi-scale Interactive Network for Salient Object Detection

Video Salient Object Detection via Fully Convolutional Networks (TIP18)

A Deep Multi-Level Network for Saliency Prediction. ICPR 2016

[CVPR 2020 Workshop] Official implementation of Score-CAM in Pytorch

BayesGrad: Explaining Predictions of Graph Convolutional Networks

Detect model's attention

Neural network visualization toolkit for tf.keras

Salient Object Detection Driven by Fixation Prediction (CVPR2018)

Exploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17

code for the paper ``learning to promote saliency detectors"

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

Structure-measure: A New Way to Evaluate Foreground Maps, ICCV 2017 (Spotlight)

Jing Lou, Wei Zhu, Huan Wang, Mingwu Ren*, “Small Target Detection Combining Regional Stability and Saliency in a Color Image,” Multimedia Tools and Applications, vol. 76, no. 13, pp. 14781-14798, 2017.

RGB-D Salient Object Detection: A Survey

Unified Image and Video Saliency Modeling (ECCV 2020)

[BMVC17] Weakly Supervised Saliency Detection with A Category-Driven Map Generator

手工实现的智能图片处理系统 包含基础的图片处理功能 各类滤波 seam carving算法 以及结合精细语义分割信息 实现智能去除目标的功能

Extending existing saliency prediction models from 2D to omnidirectional images

Salient Object Detection with Pyramid Attention and Salient Edges (CVPR19)

A dilated inception network for visual saliency prediction (TMM 2019)

Gcam is an easy to use Pytorch library that makes model predictions more interpretable for humans. It allows the generation of attention maps with multiple methods like Guided Backpropagation, Grad-Cam, Guided Grad-Cam and Grad-Cam++.