Code for "Complex-Valued Depthwise Separable Convolutional Neural Network for Automatic Modulation Classification"

Overview of self-supervised learning of tiny models, including distillation-based methods (aks. self-supervised distillation) and non-distillation methods.

An awesome list of "small but mighty" models and resources.

LUPI-OD - A novel methodology to improve object detection accuracy without increasing model size or complexity. | 2025 European Workshop on Visual Information Processing (EUVIP) | Master of Science Dissertation | University of Malta

Notes and resources from Qualcomm On-device AI course, provided by DeepLearningAI

Fake detection using BERT & smooth pruning

[Research] Lightweight, boundary-aware, noise-robust polyp segmentation (Kvasir-SEG & CVC-ClinicDB) with calibration and ECE maps

A comprehensive study on optimizing hyperparameters for lightweight deep learning models aimed at real-time image classification on edge devices. Includes training configs, scripts, and performance benchmarks.