Papers with Code 아카이브
Vehicle Re-Identification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 12
- 보존된 평가 기록
- 68
Vehicle re-identification is the task of identifying the same vehicle across multiple cameras.
<span style="color:grey; opacity: 0.6">( Image credit: A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mindspore-ai/models/tree/master/research/cv/VehicleNet
VehicleNet: Learning Robust Feature Representation for Vehicle Re-identification
https://github.com/regob/vehicle_mtmc
https://github.com/saghiralfasly/VFL-Vehicle-Re-Id
Variational Representation Learning for Vehicle Re-Identification
https://github.com/totoroKalic/pamtri-mindspore
https://github.com/totoroKalic/vehiclenet-mindspore
VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification
https://github.com/yangyucheng000/MSpaper/tree/main/VehicleNet
VehicleNet: Learning Robust Feature Representation for Vehicle Re-identification
https://github.com/zhangxinyu-xyz/PGAN-VehicleRe-ID
Part-Guided Attention Learning for Vehicle Instance Retrieval
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.