https://github.com/luogen1996/oneteacher
공식 코드Towards End-to-end Semi-supervised Learning for One-stage Object Detection
Papers with Code 아카이브
Semi-Supervised Object Detection
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Semi-supervised object detection uses both labeled data and unlabeled data for training. It not only reduces the annotation burden for training high-performance object detectors but also further improves the object detector by using a large number of unlabeled data.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/machengcheng2016/crossteaching-ssod
공식 코드CrossRectify: Leveraging Disagreement for Semi-supervised Object Detection
https://github.com/megvii-basedetection/denseteacher
공식 코드Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection
https://github.com/microsoft/SoftTeacher
공식 코드End-to-End Semi-Supervised Object Detection with Soft Teacher
https://github.com/nightkeepers/ci-ssod
공식 코드Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection
https://github.com/nomiaro/OPA
공식 코드Learning Object-level Point Augmentor for Semi-supervised 3D Object Detection
https://github.com/rvandeghen/ASTOD
공식 코드https://github.com/seqam-lab/alwod
공식 코드ALWOD: Active Learning for Weakly-Supervised Object Detection
https://github.com/snowdusky/dualpolishlearning
공식 코드Mind the Gap: Polishing Pseudo labels for Accurate Semi-supervised Object Detection
https://github.com/solicucu/siod
공식 코드SIOD: Single Instance Annotated Per Category Per Image for Object Detection
https://github.com/xiaofeng94/vl-plm
공식 코드Exploiting Unlabeled Data with Vision and Language Models for Object Detection
https://github.com/Mind23-2/MindCode-128
Efficient Teacher: Semi-Supervised Object Detection for YOLOv5
https://github.com/Mind23-2/MindCode-93
Efficient Teacher: Semi-Supervised Object Detection for YOLOv5
https://github.com/MindSpore-paper-code-3/code2/tree/main/csd
https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/semi_det
Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection
https://github.com/amazon-research/bigdetection
A Simple Semi-Supervised Learning Framework for Object Detection
https://github.com/amazon-science/bigdetection
A Simple Semi-Supervised Learning Framework for Object Detection
https://github.com/haozheliu-st/point-beyond-class
Points as Queries: Weakly Semi-supervised Object Detection by Points
https://github.com/hattrickcr7/SoftTeacher
A Simple Semi-Supervised Learning Framework for Object Detection
https://github.com/lexisnexis-risk-open-source/ledetection
End-to-End Semi-Supervised Object Detection with Soft Teacher
https://github.com/modelscope/modelscope
Efficient Teacher: Semi-Supervised Object Detection for YOLOv5
https://github.com/nhcha6/classdistributionprediction
https://github.com/soo89/CSD-RFCN
https://github.com/yeonsikch/Unbiased-Teacher
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.