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Raspberry Pi 4

Papers

Showing 125 of 48 papers

TitleStatusHype
TakuNet: an Energy-Efficient CNN for Real-Time Inference on Embedded UAV systems in Emergency Response ScenariosCode2
SBCFormer: Lightweight Network Capable of Full-size ImageNet Classification at 1 FPS on Single Board ComputersCode1
BP-Net: Efficient Deep Learning for Continuous Arterial Blood Pressure Estimation using PhotoplethysmogramCode1
HAT: Hardware-Aware Transformers for Efficient Natural Language ProcessingCode1
LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile DevicesCode1
M3D-NCA: Robust 3D Segmentation with Built-in Quality ControlCode1
A real-time GP based MPC for quadcopters with unknown disturbances0
Biases in Edge Language Models: Detection, Analysis, and Mitigation0
DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices0
Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing0
ECORE: Energy-Conscious Optimized Routing for Deep Learning Models at the Edge0
EdgeMLOps: Operationalizing ML models with Cumulocity IoT and thin-edge.io for Visual quality Inspection0
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report0
Embedded Planogram Compliance Control System0
Emotion Filtering at the Edge0
Evaluation Metrics for DNNs Compression0
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report0
Fragile Mastery: Are Domain-Specific Trade-Offs Undermining On-Device Language Models?0
GazeGen: Gaze-Driven User Interaction for Visual Content Generation0
High-accuracy Vision-Based Attitude Estimation System for Air-Bearing Spacecraft Simulators0
ImageNet Challenging Classification with the Raspberry Pi: An Incremental Local Stochastic Gradient Descent Algorithm0
Realtime Facial Expression Recognition: Neuromorphic Hardware vs. Edge AI Accelerators0
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design0
AI-based Wearable Vision Assistance System for the Visually Impaired: Integrating Real-Time Object Recognition and Contextual Understanding Using Large Vision-Language Models0
An Adaptive Device-Edge Co-Inference Framework Based on Soft Actor-Critic0
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