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1

13952522076/SPANet

0
View on GitHub↗
0 stars·0 forks·10 views

SPANet

The table prvoides the models and results of various models on CIFAR100. Learning rate =0.1 and will be divided by 10 every 70 epochs. Total 300 epochs. Using SGD optimizer, momentum=0.9, weight_decay=5e-4. Loss is CrossEntropyLoss. Batch-size=512.

Features

  • Attention Mechanisms - Spatial pyramid attention for enhanced recognition.

Star history

Star history chart for 13952522076/spanetStar history chart for 13952522076/spanet

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with SPANet

These projects share indexed features with SPANet. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • andrew-qibin/coordattentionAndrew-Qibin avatar

    Andrew-Qibin/CoordAttention

    1,150View on GitHub↗

    This repository is a PyTorch implementation of our coordinate attention (will appear in CVPR2021).

    Python
    View on GitHub↗1,150
  • anita-hu/msafA

    anita-hu/MSAF

    0View on GitHub↗

    Code for the paper MSAF: Multimodal Split Attention Fusion. This is our implementation of the MSAF module and the three MSAF-powered multimodal networks.

    View on GitHub↗0
  • ardhendubehera/capArdhenduBehera avatar

    ArdhenduBehera/cap

    82View on GitHub↗

    A repository for the code used to create and train the model defined in 'Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification' from AAAI 2021 (See the Paper section).

    Python
    View on GitHub↗82
  • 13952522076/dcanet13952522076 avatar

    13952522076/DCANet

    125View on GitHub↗

    Figure 1. Illustration of our DCANet. We visualize intermediate feature activation using Grad-CAM. Vanilla SE-ResNet50 varies its focus dramatically at different stages. In contrast, our DCA enhanced SE-ResNet50 progressively and recursively adjusts focus, and closely pays attention to the…

    Python
    View on GitHub↗125
Compare all 30 related projects→

Frequently asked questions

What does 13952522076/spanet do?

The table prvoides the models and results of various models on CIFAR100. Learning rate =0.1 and will be divided by 10 every 70 epochs. Total 300 epochs. Using SGD optimizer, momentum=0.9, weight_decay=5e-4. Loss is CrossEntropyLoss. Batch-size=512.

What are the main features of 13952522076/spanet?

The main features of 13952522076/spanet are: Attention Mechanisms.

Which projects share features with 13952522076/spanet?

Projects with overlapping indexed features include: andrew-qibin/coordattention — This repository is a PyTorch implementation of our coordinate attention (will appear in CVPR2021). anita-hu/msaf — Code for the paper MSAF: Multimodal Split Attention Fusion. This is our implementation of the MSAF module and the… ardhendubehera/cap — A repository for the code used to create and train the model defined in 'Context-aware Attentional Pooling (CAP) for… bangguwu/ecanet — ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. blue-blue272/imgreid-ianet. 13952522076/dcanet — Figure 1. Illustration of our DCANet. We visualize intermediate feature activation using Grad-CAM. Vanilla SE-ResNet50…