Highlights from OpenMMLab’s Boosting Computer Vision Research Tutorial at CVPR 2023
The OpenMMLab tutorial at CVPR 2023 has come to a perfect close, and we would like to extend our gratitude to all the attendees who joined us for this exciting session. As the premier annual computer vision event, CVPR provides a unique opportunity to explore the latest research and trends in the field of computer vision. OpenMMLab was thrilled to host a tutorial at this year’s event, titled “Boosting Computer Vision Research with OpenMMLab and OpenDataLab”.
At OpenMMLab&OpenDatalab, we are committed to promoting research and application in computer vision. Our open-source toolboxes and datasets aim to provide researchers with the necessary resources to accelerate their research and innovation in this field. During the tutorial, our team of talented scientists, led by Kai Chen and Conghui He from Shanghai AI Lab, as well as Zhang Songyang, Zeng Yanhong, and Wenwei Zhang, all young researchers from Shanghai AI Lab, presented insightful and informative sessions on how researchers can leverage the power of OpenMMLab and OpenDataLab to accelerate their computer vision research.
Thank you once again to all who joined us, and we look forward to seeing you at future events. Did you miss OpenMMLab’s tutorial at CVPR 2023? Or perhaps you were there and want to relive the excitement? Look no further! In this article, we’ll bring you the highlights from our tutorial on ‘Boosting Computer Vision Research with OpenMMLab and OpenDataLab’. Get ready to learn about the latest advancements in computer vision research and how OpenMMLab can help accelerate your work. Let’s dive in：
