Description
MobileNet is a type of convolutional neural network designed for mobile and embedded vision applications. They are based on a streamlined architecture that uses depthwise separable convolutions to build lightweight deep neural networks that can have low latency for mobile and embedded devices.
Papers Using This Method
Conformal Prediction for Indoor Positioning with Correctness Coverage Guarantees2025-05-03AI-Driven Diabetic Retinopathy Diagnosis Enhancement through Image Processing and Salp Swarm Algorithm-Optimized Ensemble Network2025-03-18Hardware-Aware DNN Compression for Homogeneous Edge Devices2025-01-25A Hard-Label Cryptanalytic Extraction of Non-Fully Connected Deep Neural Networks using Side-Channel Attacks2024-11-15An Edge Computing-Based Solution for Real-Time Leaf Disease Classification using Thermal Imaging2024-11-06Enhancing Apple's Defect Classification: Insights from Visible Spectrum and Narrow Spectral Band Imaging2024-10-14Lite-FBCN: Lightweight Fast Bilinear Convolutional Network for Brain Disease Classification from MRI Image2024-09-17Rescaling Large Datasets Based on Validation Outcomes of a Pre-trained Network2024-07-01SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning2023-10-07Study for Performance of MobileNetV1 and MobileNetV2 Based on Breast Cancer2023-08-06Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge2023-07-06PAtt-Lite: Lightweight Patch and Attention MobileNet for Challenging Facial Expression Recognition2023-06-16RAMAN: A Re-configurable and Sparse tinyML Accelerator for Inference on Edge2023-06-10AUTOSPARSE: Towards Automated Sparse Training of Deep Neural Networks2023-04-14Arithmetic Intensity Balancing Convolution for Hardware-aware Efficient Block Design2023-04-08A Simple and Generic Framework for Feature Distillation via Channel-wise Transformation2023-03-23R2 Loss: Range Restriction Loss for Model Compression and Quantization2023-03-14HyT-NAS: Hybrid Transformers Neural Architecture Search for Edge Devices2023-03-08Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning2023-01-26Slimmable Pruned Neural Networks2022-12-07