Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.
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Jan 11, 2022 - Python
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cbam-resnet
Here are 9 public repositories matching this topic...
CBAM(Convolutional Block Attention Module) implementation on TensowFlow2.0
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Dec 23, 2020 - Python
This is a torchvision style CNN models collection based on pytorch.
pytorch attention-mechanism cnn-model senet self-attention cbam cbam-resnet se-resnet crossstagepartial csp-resnet csp-densenet exactfusionmodel
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Sep 15, 2020 - Python
A minimal Tensorflow2.0 implementation of Resnet on CIFAR10 dataset.
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Mar 19, 2021 - Python
AI & ROBOTICS HACKATHON 2022
data-mining deep-neural-networks image-processing classification image-classification multispectral-images cbam-resnet
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Jun 23, 2022 - Jupyter Notebook
🩺 A comprehensive project leveraging YOLOv8 and Faster R-CNN for detecting thoracic abnormalities in chest X-rays. Optimized for medical diagnostics with CBAM attention, achieving precision and recall benchmarks. 🚀 Includes advanced preprocessing, class imbalance reduction, and detailed evaluation metrics.
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Mar 29, 2025 - Python
Rice Leaf Disease Classification using Convolution Bottleneck Attention Model
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Aug 6, 2021 - Jupyter Notebook
Remote Sensing Change Detection
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Dec 3, 2023 - Python
This repository contains a complete implementation of a plant disease classification system using a CBAM (Convolutional Block Attention Module) augmented ResNet18 architecture. The system is designed to accurately identify various plant diseases from images, leveraging attention mechanisms to focus on the most relevant features for diagnosis.
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May 1, 2025 - Python
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