An implementation of MobileNetV3 with pyTorch
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Updated
Jul 24, 2020 - Python
An implementation of MobileNetV3 with pyTorch
YOLO-TLP: detected and classified tiny objects with bounding box dimensions smaller than 15 pixels, outperforming other one-stage detectors. maximum resolution for target observation in real-time applications.
RDLINet: A Novel Lightweight Inception Network for Respiratory Disease Classification Using Lung Sounds (IEEE TIM-2024)
Lightweight deep learning approach for IoT malware detection achieving 95.15% F1-score. Compares CNN, MobileNetV3, and ShuffleNetV2 on network traffic visualization with SMOTE-balanced dataset (9 malware classes + benign).
[Research] Lightweight Pathology AI for Cancer Metastasis Detection using PatchCamelyon
Bio-inspired CNN modeling M/P/K pathways of the Lateral Geniculate Nucleus. From 76KB/15.5K params (33 FPS on Raspberry Pi) to full-scale and temporal variants. Matches ResNet18 with 52x fewer parameters. No pretraining required.
ESP32-S3 Camera Image Processing Project
Trustworthy AI for Real-Time Quality Monitoring in Polymer Additive Manufacturing
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