首页|Shanghai University Researchers Describe Recent Advances in Artificial Intellige nce (TLtrack: Combining Transformers and a Linear Model for Robust Multi-Object Tracking)

Shanghai University Researchers Describe Recent Advances in Artificial Intellige nce (TLtrack: Combining Transformers and a Linear Model for Robust Multi-Object Tracking)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligenc e is the subject of a new report. According to news originating from Shanghai, P eople’s Republic of China, by NewsRx correspondents, research stated, “Multi-obj ect tracking (MOT) aims at estimating locations and identities of objects in vid eos. Many modern multiple-object tracking systems follow the tracking-by-detecti on paradigm, consisting of a detector followed by a method for associating detec tions into tracks.”

Shanghai UniversityShanghaiPeople’s Republic of ChinaAsiaArtificial Intelligence

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.10)