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cbam

https://static.github-zh.com/github_avatars/Peachypie98?size=40
Jupyter Notebook 63
5 个月前
https://static.github-zh.com/github_avatars/arp95?size=40

Spatial and Channel Attention in CNN Architectures for Image Classification task

Jupyter Notebook 27
5 年前
https://static.github-zh.com/github_avatars/doublechenching?size=40

training a classification model with xray14 dataset

Jupyter Notebook 13
7 年前
https://static.github-zh.com/github_avatars/AndrzejMiskow?size=40

#计算机科学#This projected explored the effect of introducing channel and spatial attention mechanisms, namely SEN-Net, ECA-Net, and CBAM to existing CNN vision-based models such as VGGNet, ResNet, and ResNetV2 ...

Jupyter Notebook 11
2 年前
https://static.github-zh.com/github_avatars/ReverendBayes?size=40

#计算机科学#A deep learning–based computer vision training pipeline for car damage detection using a Co-DETR learner enhanced with CBAM Attention, Hybrid Loss, and Albumentations. Trains on Colab to identify and ...

Jupyter Notebook 5
4 个月前
https://static.github-zh.com/github_avatars/NeoGreenCode?size=40

#计算机科学#Deep Learning Project for Sugarcane Disease Prediction and Classification Using CNN Architectures

Jupyter Notebook 2
6 个月前
https://static.github-zh.com/github_avatars/Aaditatgithub?size=40

Predicting urban heat island for the city of Pune using MODIS LST, PM2.5 and GLC_FCS30D Landcover dataset. The neural network consists of three covolution streams and attention unet for feature fusion...

Jupyter Notebook 1
21 天前
https://static.github-zh.com/github_avatars/kliu513?size=40

An Image colorization algorithm using PatchGan and Convolution Block Attention Modules (CBAM)

Jupyter Notebook 1
4 年前
https://static.github-zh.com/github_avatars/ksatrajit0?size=40

Alzheimer's disease classification from MRI scans using hybrid learning and XAI

Jupyter Notebook 1
3 个月前
https://static.github-zh.com/github_avatars/iaher09?size=40

#计算机科学#A deep learning–based computer vision training pipeline for car damage detection using a Co-DETR learner enhanced with CBAM Attention, Hybrid Loss, and Albumentations. Trains on Colab to identify and ...

Jupyter Notebook 0
5 个月前
https://static.github-zh.com/github_avatars/SatvikPraveen?size=40

#计算机科学#A comprehensive implementation of CBAM-STN-TPS-YOLO architecture for agricultural object detection, featuring convolutional block attention modules (CBAM), spatial transformer networks (STN), and thin...

Jupyter Notebook 0
1 个月前
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