There are 1 repository under saliency topic.
Pytorch implementation of convolutional neural network visualization techniques
Debugging, monitoring and visualization for Python Machine Learning and Data Science
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
Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model. IEEE Transactions on Image Processing (2018)
PySODEvalToolkit: A Python-based Evaluation Toolbox for Salient Object Detection and Camouflaged Object Detection
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)
PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrcis
Video Salient Object Detection via Fully Convolutional Networks (TIP18)
This Toolbox contains E-measure, S-measure, weighted F & F-measure, MAE and PR curves or bar metrics for salient object detection.
A Deep Multi-Level Network for Saliency Prediction. ICPR 2016
As part of the Explainable AI Toolkit (XAITK), XAITK-Saliency is an open source, explainable AI framework for visual saliency algorithm interfaces and implementations, built for analytics and autonomy applications.
BayesGrad: Explaining Predictions of Graph Convolutional Networks
Structure-measure: A New Way to Evaluate Foreground Maps, IJCV2021 (ICCV 2017-Spotlight)
Salient objects in clutter, TPAMI, 2022
Code for our IEEE TIP 2020 paper "Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton"
ViNet Pushing the limits of Visual Modality for Audio Visual Saliency Prediction
Salient Object Detection Driven by Fixation Prediction (CVPR2018)
Boundary Aware PoolNet = PoolNet + BASNet : Deeply supervised PoolNet using the hybrid loss in BASNet for Salient Object Detection
Exploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17
Salient Object Detection with Pyramid Attention and Salient Edges (CVPR19)