Omni Detr
PyTorch implementation of Omni-DETR for omni-supervised object detection: https://arxiv.org/abs/2203.16089
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Training_extensions | 1,119 |  | 1 | a month ago | 55 | October 31, 2023 | 54 | apache-2.0 | Python | |
| Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™ | ||||||||||
| Softteacher | 749 | 2 years ago | 93 | mit | Python | |||||
| Semi-Supervised Learning, Object Detection, ICCV2021 | ||||||||||
| Auto_annotate | 134 | 3 months ago | 6 | January 10, 2023 | 5 | apache-2.0 | Jupyter Notebook | |||
| Labeling is boring. Use this tool to speed up your next object detection project! | ||||||||||
| Consistentteacher | 117 | a year ago | 12 | apache-2.0 | Python | |||||
| [CVPR2023 Highlight] Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection | ||||||||||
| Ssod | 61 | a year ago | 12 | apache-2.0 | Python | |||||
| An official implementation of CVPR 2022 paper "Label Matching Semi-Supervised Object Detection". | ||||||||||
| Pseco | 49 | 2 years ago | 2 | apache-2.0 | Python | |||||
| An official implementation of the PseCo (ECCV2022) | ||||||||||
| Omni Detr | 45 | 2 years ago | n,ull | other | Python | |||||
| PyTorch implementation of Omni-DETR for omni-supervised object detection: https://arxiv.org/abs/2203.16089 | ||||||||||
| Active Learning For Object Detection | 12 | 3 years ago | n,ull | Jupyter Notebook | ||||||
| Active learning for deep object detection using YOLO | ||||||||||
| Crossrectify Ssod | 11 | 4 months ago | Python | |||||||
| Official code of "CrossRectify: Leveraging Disagreement for Semi-supervised Object Detection" (PR'2023) | ||||||||||
| Ssfod | 7 | 4 months ago | unlicense | Shell | ||||||
| [Official] NeurIPS 2023, "Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Approach for Object Detection" | ||||||||||
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