#计算机科学#CBAM: Convolutional Block Attention Module for CIFAR100 on VGG19
Spatial and Channel Attention in CNN Architectures for Image Classification task
training a classification model with xray14 dataset
#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 ...
#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 ...
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...
An Image colorization algorithm using PatchGan and Convolution Block Attention Modules (CBAM)
Alzheimer's disease classification from MRI scans using hybrid learning and XAI
#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 ...
#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...