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Traffic Sign Recognition
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Traffic sign recognition is the task of recognising traffic signs in an image or video.
<span style="color:grey; opacity: 0.6">( Image credit: Novel Deep Learning Model for Traffic Sign Detection Using Capsule Networks )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/apostovan21/vnncomp2023
Architecturing Binarized Neural Networks for Traffic Sign Recognition
https://github.com/bosch-ros-pkg/bstld
https://github.com/dineshresearch/Novel-Deep-Learning-Model-for-Traffic-Sign-Detection-Using-Capsule-Networks
Novel Deep Learning Model for Traffic Sign Detection Using Capsule Networks
https://github.com/hughperkins/DeepCL
https://github.com/narimanabdi/seqnet
https://github.com/olivesgatech/CURE-TSR
CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition
https://github.com/ppriyank/MicronNet
https://github.com/shivendrashahi/Final_Project_Traffic_Sign
Traffic Sign Classification Using Deep Inception Based Convolutional Networks
https://github.com/shyhyawJou/Binarized-Neural-Network
Architecturing Binarized Neural Networks for Traffic Sign Recognition
https://github.com/sovit-123/traffic-light-detection-using-yolov3
https://github.com/vxy10/p2-TrafficSigns
Traffic Sign Classification Using Deep Inception Based Convolutional Networks
https://github.com/wlawt/capsnet-trafficsigns
Novel Deep Learning Model for Traffic Sign Detection Using Capsule Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.