Abstract: In object detection, keypoint-based approaches often experience the drawback of a large number of incorrect object bounding boxes, arguably due to the lack of an additional assessment inside ...
A Comprehensive Survey: Awesome Multi-modal Object Tracking. Chunhui Zhang, Li Liu, Hao Wen, Xi Zhou, Yanfeng Wang. [paper] [homepage][中文解读] Abstract: Multi-modal object tracking (MMOT) is an emerging ...
Thirteen artifacts from the National Museum of American History chronicle profound changes in the life of the nation Photographs by Jessica Antola by Robin Marantz Henig The sexual revolution didn’t ...
This repository is code release for our ICCV 2019 paper (arXiv report here). Current 3D object detection methods are heavily influenced by 2D detectors. In order to leverage architectures in 2D ...
Abstract: Object detection is a fundamental yet challenging task in computer vision. Despite the great strides made over recent years, modern detectors may still produce unsatisfactory performance due ...
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