Papers with Code 아카이브

Traffic Sign Detection

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전체 기법전체 데이터셋

하위 태스크

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평가표

4

보존된 평가 기록

6

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/LCAD-UFES/publications-tabelini-ijcnn-2019

공식 코드

Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images

https://github.com/aimotive/aimotive_tl_ts_dataset

공식 코드

Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous Driving

https://github.com/dvtailor/meta-l2d

공식 코드

Learning to Defer to a Population: A Meta-Learning Approach

https://github.com/haoqinhong/ccspnet-joint

공식 코드

CCSPNet-Joint: Efficient Joint Training Method for Traffic Sign Detection Under Extreme Conditions

https://github.com/nicholascg/glare_dataset

공식 코드

GLARE: A Dataset for Traffic Sign Detection in Sun Glare

https://github.com/olivesgatech/CURE-TSD

공식 코드

Challenging Environments for Traffic Sign Detection: Reliability Assessment under Inclement Conditions

https://github.com/sakshiudeshi/Neo

공식 코드

Model Agnostic Defence against Backdoor Attacks in Machine Learning

https://github.com/skokec/detectron-traffic-signs

공식 코드

Deep Learning for Large-Scale Traffic-Sign Detection and Recognition

https://github.com/zippiest/yolo-cca

공식 코드

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection

https://github.com/2K2A/2K2A.github.io

Novel Deep Learning Model for Traffic Sign Detection Using Capsule Networks

https://github.com/NWPU-Li/AF_FPN

Improved YOLOv5 network for real-time multi-scale traffic sign detection

https://github.com/aarcosg/traffic-sign-detection

https://github.com/ain-soph/trojanzoo

Model Agnostic Defence against Backdoor Attacks in Machine Learning

https://github.com/bosch-ros-pkg/bstld

A Hierarchical Deep Architecture and Mini-Batch Selection Method For Joint Traffic Sign and Light Detection

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/olivesgatech/CURE-TSR

Traffic Signs in the Wild: Highlights from the IEEE Video and Image Processing Cup 2017 Student Competition [SP Competitions]

https://github.com/sovit-123/traffic-light-detection-using-yolov3

A Hierarchical Deep Architecture and Mini-Batch Selection Method For Joint Traffic Sign and Light Detection

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.