SoftTeacher
Visit ToolSoftTeacher is an open-source tool for semi-supervised object detection. It provides an official implementation of the ICCV2021 paper "End-to-End Semi-Supervised Object Detection with Soft Teacher."
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SoftTeacher is an open-source tool for semi-supervised object detection. It provides an official implementation of the ICCV2021 paper "End-to-End Semi-Supervised Object Detection with Soft Teacher."
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About
SoftTeacher is an open-source project providing the official implementation of the ICCV2021 paper "End-to-End Semi-Supervised Object Detection with Soft Teacher." This tool enables the training of object detection models using a combination of labeled and unlabeled data, significantly improving model accuracy, especially in scenarios with limited labeled data. It offers configurations for various labeled data percentages (1%, 5%, 10%, and full labeled data) and includes pre-trained model weights. The repository provides detailed instructions for installation, data preparation, training, evaluation, and inference, making it a valuable resource for researchers and developers in computer vision.
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Open Source
Free
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