No need to label massive data, the new paradigm of object detection OVD makes multi-modal AGI a step forward

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Institute of Computer Vision

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Computer Vision Research Institute column

Author: Edison_G

Target detection is a very important basic task in computer vision. Different from common image classification/recognition tasks, target detection requires the model to further give the position and size information of the target above the category of the target. In CV 3 It is in a key position connecting the preceding and the following in large tasks (identification, detection, segmentation).

Transferred from "360AI Research Institute"

OVD basic flow diagram

论文1：Open-Vocabulary Object Detection Using Captions

• Paper address: https://arxiv.org/pdf/2011.10678.pdf

• Code address: https://github.com/alirezazareian/ovr-cnn

• Paper address: https://arxiv.org/abs/2112.09106

• Code address: https://github.com/microsoft/RegionCLIP

论文3：CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-Matching

• Paper address: https://arxiv.org/abs/2303.13076

• Code address: https://github.com/tgxs002/CORA

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Institute of Computer Vision

The Institute of Computer Vision is mainly involved in the field of deep learning, and is mainly committed to research directions such as face detection, face recognition, multi-target detection, target tracking, and image segmentation. The research institute will continue to share the latest new paper algorithm framework. The difference in our reform this time is that we need to focus on "research". Afterwards, we will share the practical process for the corresponding fields, so that everyone can truly experience the real scene of getting rid of the theory, and cultivate the habit of loving programming and thinking with your brain!

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