Home AI Revolutionizing Object Detection: AI Harnesses Sketches for Accurate Tumor Detection and Rare Bird Species Identification

Revolutionizing Object Detection: AI Harnesses Sketches for Accurate Tumor Detection and Rare Bird Species Identification

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Revolutionizing Object Detection: AI Harnesses Sketches for Accurate Tumor Detection and Rare Bird Species Identification
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The ability to train machine learning systems to recognise particular items in photos while ignoring others has been hailed as a potentially game-changing improvement in the detection of cancer by researchers at the University of Surrey. At the next Computer Vision, Pattern, and Recognition Conference (CVPR), the university intends to present its ground-breaking sketch-based object detection programme. With this tool, users can sketch an object, and the AI will utilize the sketch as a reference to search for a matching object within an image, disregarding more general options.

While words may not always be the most efficient means of communication, Professor Yi-Zhe Song, the research director of the University of Surrey’s Institute for People-Centred AI, emphasised the value of sketch-based tools. all the individual cues present in an artist’s sketch, these cues can greatly influence AI systems. According to Professor Song, the tool has practical applications in medicine for identifying aggressive tumors and in wildlife conservation for detecting rare animals.

The study paper gives an example of how to use the programme to find a single zebra in a photograph of many zebras, using only a sketch of the zebra eating as a guide. The AI tool takes into account visual cues such as pose and structure but makes decisions based on the specific instructions provided by the amateur artist.

 

The capability of AI to identify objects based on crude sketches, according to Professor Song, indicates a substantial improvement in computer vision’s use of human creativity. The capability of AI to identify objects based on crude sketches, according to Professor Song, indicates a substantial improvement in computer vision’s use of human creativity.

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                                                                                                                                                                                                                                             Image by expert

The study demonstrates the University of Surrey’s proficiency in AI research and will be presented at CVPR 2023. With almost 18 papers accepted and one nomination for the Best Paper Award, the university has an impressively high number of papers accepted for the conference compared to other academic institutions.

The University of Surrey, known for its research intensity, focuses on producing world-leading research and innovative teaching that brings about positive transformations. The Institute for People-Centred AI combines three decades of technical excellence in machine learning with multidisciplinary research to address technical, ethical, and governance questions that will shape a people-centered future for AI. Surrey’s commitment to impactful research has contributed to its ranking of 55th in the world in the Times Higher Education (THE) University Impact Rankings 2022, It assesses how well universities do in attaining the Sustainable Development Goals (SDGs) of the United Nations.

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