Neural network visualization toolkit for tf.keras
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Updated
Mar 25, 2024 - Python
Neural network visualization toolkit for tf.keras
CVPR2020, Multi-scale Interactive Network for Salient Object Detection
Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]
PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrcis
Official Repository for ECCV 2020 paper "AiR: Attention with Reasoning Capability"
Codes for the AAAI 2021 paper "Locate Globally, Segment locally: A Progressive Architecture With Knowledge Review Network for Salient Object Detection"
The official PyTorch implementation of IEEE Transactions on Image Processing 2021 paper "Rethinking the U-shape Structure for Salient Object Detection"
Neural network visualization tool after an optional model compression with parameter pruning: (integrated) gradients, guided/visual backpropagation, activation maps for the cao model on the IndianPines dataset
reference implementation of Real-time Salient Object Detection based on Division of Gaussians [Katramados/Breckon, 2011]
Code and data for the ACL 2023 NLReasoning Workshop paper "Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods" (Feldhus et al., 2023)
Saliency Detection library (models, loss, utils) with PyTorch
This project uses Deep Learning to extract Salient text from an image using State-of-the-Art Vision Transformer Architecture.
Code for evaluating saliency maps with classification metrics.
Deep convolutional network for saliency prediction, implemented by PyTorch
Explainability and Robustness in Metric Space
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