Pytorch implementation of convolutional neural network visualization techniques
-
Updated
Oct 10, 2022 - Python
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
PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrcis
Pytorch Implementation of recent visual attribution methods for model interpretability
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)
Add a description, image, and links to the saliency topic page so that developers can more easily learn about it.
To associate your repository with the saliency topic, visit your repo's landing page and select "manage topics."