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Obligatorisch Sparsam Tagebuch lightweight object detection model Flaute Mehrdeutig Wunder

GitHub - jeeliz/jeelizAR: JavaScript object detection lightweight library  for augmented reality (WebXR demos included). It uses convolutional neural  networks running on the GPU with WebGL.
GitHub - jeeliz/jeelizAR: JavaScript object detection lightweight library for augmented reality (WebXR demos included). It uses convolutional neural networks running on the GPU with WebGL.

A survey of modern deep learning based object detection models -  ScienceDirect
A survey of modern deep learning based object detection models - ScienceDirect

Object detection with neural networks — a simple tutorial using keras | by  Johannes Rieke | Towards Data Science
Object detection with neural networks — a simple tutorial using keras | by Johannes Rieke | Towards Data Science

YOLOv7: The Fastest Object Detection Algorithm (2024) - viso.ai
YOLOv7: The Fastest Object Detection Algorithm (2024) - viso.ai

Table 1 from Fast and Lightweight Object Detection Network: Detection and  Recognition on Resource Constrained Devices | Semantic Scholar
Table 1 from Fast and Lightweight Object Detection Network: Detection and Recognition on Resource Constrained Devices | Semantic Scholar

A lightweight object detection algorithm based on YOLOv3 for vehicle and  pedestrian detection | Semantic Scholar
A lightweight object detection algorithm based on YOLOv3 for vehicle and pedestrian detection | Semantic Scholar

Technologies | Free Full-Text | Mobilenetv2_CA Lightweight Object Detection  Network in Autonomous Driving
Technologies | Free Full-Text | Mobilenetv2_CA Lightweight Object Detection Network in Autonomous Driving

Real-Time Object Detection | Papers With Code
Real-Time Object Detection | Papers With Code

Pushing the boundaries of lightweight object detection models -  sascharudolph.com
Pushing the boundaries of lightweight object detection models - sascharudolph.com

Frontiers | Lightweight object detection algorithm based on YOLOv5 for  unmanned surface vehicles
Frontiers | Lightweight object detection algorithm based on YOLOv5 for unmanned surface vehicles

Retraining EfficientDet for High-Accuracy Object Detection | by Jason Li |  ML6team
Retraining EfficientDet for High-Accuracy Object Detection | by Jason Li | ML6team

PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection  | by Arc | Towards Data Science
PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection | by Arc | Towards Data Science

Remote Sensing | Free Full-Text | A Lightweight Keypoint-Based Oriented Object  Detection of Remote Sensing Images
Remote Sensing | Free Full-Text | A Lightweight Keypoint-Based Oriented Object Detection of Remote Sensing Images

Lightweight and computationally faster Hypermetropic Convolutional Neural  Network for small size object detection - ScienceDirect
Lightweight and computationally faster Hypermetropic Convolutional Neural Network for small size object detection - ScienceDirect

Object-detection mAP for YOLOv3 using lightweight compression at layer... |  Download Scientific Diagram
Object-detection mAP for YOLOv3 using lightweight compression at layer... | Download Scientific Diagram

Lightweight object detection model fused with feature pyramid | SpringerLink
Lightweight object detection model fused with feature pyramid | SpringerLink

A Lightweight Rotational Object Detection Algorithm for Real Time Detection  of Vehicles in Dense - YouTube
A Lightweight Rotational Object Detection Algorithm for Real Time Detection of Vehicles in Dense - YouTube

Applied Sciences | Free Full-Text | Improved YOLOv5-Based Lightweight  Object Detection Algorithm for People with Visual Impairment to Detect Buses
Applied Sciences | Free Full-Text | Improved YOLOv5-Based Lightweight Object Detection Algorithm for People with Visual Impairment to Detect Buses

Table 1 from Tiny-DSOD: Lightweight Object Detection for  Resource-Restricted Usages | Semantic Scholar
Table 1 from Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usages | Semantic Scholar

High Accuracy Lightweight and Superfast Model Nanodet Plus
High Accuracy Lightweight and Superfast Model Nanodet Plus

GitHub - sirbardo/CVProjectBBoxModel: A lightweight object detection model  lightly inspired by the YOLO architecture we developed for a Computer  Vision project.
GitHub - sirbardo/CVProjectBBoxModel: A lightweight object detection model lightly inspired by the YOLO architecture we developed for a Computer Vision project.

RadarFormer: Lightweight and Accurate Real-Time Radar Object Detection Model  | SpringerLink
RadarFormer: Lightweight and Accurate Real-Time Radar Object Detection Model | SpringerLink

Lightweight object detection using a hybrid approach for low-power... |  Download Scientific Diagram
Lightweight object detection using a hybrid approach for low-power... | Download Scientific Diagram

Toward real-time 3D object recognition: A lightweight volumetric CNN  framework using multitask learning - ScienceDirect
Toward real-time 3D object recognition: A lightweight volumetric CNN framework using multitask learning - ScienceDirect

Remote Sensing | Free Full-Text | A Lightweight Object Detection Algorithm  for Remote Sensing Images Based on Attention Mechanism and YOLOv5s
Remote Sensing | Free Full-Text | A Lightweight Object Detection Algorithm for Remote Sensing Images Based on Attention Mechanism and YOLOv5s