#3DObjectDetection
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Tracking Meets Large Multimodal Models for Driving Scenario Understanding
Excerpt from PDF: Tracking Meets Large Multimodal Models for Driving Scenario Understanding Ayesha Ishaq1 Jean Lahoud1 Fahad Shahbaz Khan1,2 Salman Khan1,3 Hisham Cholakkal1 Rao Muhammad Anwer1 1 Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI) 2 Link¨oping University, 3 Australian National University Abstract Large Multimodal Models (LMMs) have recently gained prominence in…
#3DObjectDetection#3DVehicleDataset#AccurateModeling#baseline#DrivingBehaviorRecognition#EyeTracking#QuestionAnsweringPerformance#with
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LEGNet: Lightweight Edge-Gaussian Driven Network for
Excerpt from PDF: JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 1 LEGNet: Lightweight Edge-Gaussian Driven Network for Low-Quality Remote Sensing Image Object Detection Wei Lu, Si-Bao Chen∗, Hui-Dong Li, Qing-Ling Shu, Chris H. Q. Ding, Jin Tang, and Bin Luo Abstract—Remote sensing object detection (RSOD) faces formidable challenges in complex visual environments. Aerial and satellite…
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