GitHub topics: swim-transformer
Romilagarwal/diabetic_retinoplasty
A hybrid deep learning framework for automated diabetic retinopathy detection combining EfficientNetB0 with Swin Transformer attention mechanisms. Features Bayesian uncertainty quantification through Monte Carlo Dropout, explainable AI visualizations with Grad-CAM, and specialized preprocessing techniques.
Language: Python - Size: 52.6 MB - Last synced at: 2 days ago - Pushed at: 20 days ago - Stars: 1 - Forks: 0

cosmic-heart/Anomaly-Crime-Activity-Detection 📦
Real Time Detection of Anomalous Activity From Videos (mainly crime actvity). Images of the video is trained using AutoEncoder to get the imtermediate feature representation of image & applied svm model for the bag of such features to detect the anomaly & LSTM to detect the type of Anomaly.
Language: Python - Size: 354 KB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 24 - Forks: 2
