Papers with Code 아카이브
One-Shot Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 2
- 보존된 평가 기록
- 5
<span style="color:grey; opacity: 0.6">( Image credit: Siamese Mask R-CNN )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/SysCV/qdtrack
공식 코드Quasi-Dense Similarity Learning for Multiple Object Tracking
https://github.com/aosokin/os2d
공식 코드OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features
https://github.com/bethgelab/siamese-mask-rcnn
공식 코드https://github.com/google-research/scenic/tree/main/scenic/projects/owl_vit
공식 코드Simple Open-Vocabulary Object Detection with Vision Transformers
https://github.com/mlzxy/devit
공식 코드https://github.com/timy90022/One-Shot-Object-Detection
공식 코드One-Shot Object Detection with Co-Attention and Co-Excitation
https://github.com/SysCV/tet
Quasi-Dense Similarity Learning for Multiple Object Tracking
https://github.com/ducminhkhoi/FAPIS
https://github.com/gplast/DroNet
DroNet: Efficient convolutional neural network detector for real-time UAV applications
https://github.com/gplast/DroNet_PyTorch
DroNet: Efficient convolutional neural network detector for real-time UAV applications
https://github.com/jshtok/RepMet
RepMet: Representative-based metric learning for classification and one-shot object detection
https://github.com/michaelisc/cluttered-omniglot
https://github.com/syscv/ovtrack
Quasi-Dense Similarity Learning for Multiple Object Tracking
https://github.com/yangyucheng000/University/tree/main/model-1/owlvit
Simple Open-Vocabulary Object Detection with Vision Transformers
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.