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Fine-Grained Vehicle Classification
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Fine-Grained Vehicle Classification in Urban Traffic Scenes using Deep Learning
Vehicle 24-Color Long Tail Recognition Based on Smooth Modulation Neural Network with Multi-layer Feature Representation
Proxy Anchor Loss for Deep Metric Learning
Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural Networks
Channel Max Pooling Layer for Fine-Grained Vehicle Classification
Vehicle classification using ResNets, localisation and spatially-weighted pooling
A Systematic Evaluation of Recent Deep Learning Architectures for Fine-Grained Vehicle Classification
Vehicle Color Recognition using Convolutional Neural Network
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.