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pro vyhledávání: '"Perreault, Hughes"'
In this paper, we present a novel method called PolyTrack for fast multi-object tracking and segmentation using bounding polygons. Polytrack detects objects by producing heatmaps of their center keypoint. For each of them, a rough segmentation is don
Externí odkaz:
http://arxiv.org/abs/2111.01606
A significant amount of redundancy exists between consecutive frames of a video. Object detectors typically produce detections for one image at a time, without any capabilities for taking advantage of this redundancy. Meanwhile, many applications for
Externí odkaz:
http://arxiv.org/abs/2109.07298
We present a novel method, called CenterPoly, for real-time instance segmentation using bounding polygons. We apply it to detect road users in dense urban environments, making it suitable for applications in intelligent transportation systems like au
Externí odkaz:
http://arxiv.org/abs/2108.08923
Autor:
Perreault, Hughes, Héritier, Maguelonne, Gravel, Pierre, Bilodeau, Guillaume-Alexandre, Saunier, Nicolas
Consecutive frames in a video are highly redundant. Therefore, to perform the task of video object detection, executing single frame detectors on every frame without reusing any information is quite wasteful. It is with this idea in mind that we prop
Externí odkaz:
http://arxiv.org/abs/2003.10898
Humans are very good at directing their visual attention toward relevant areas when they search for different types of objects. For instance, when we search for cars, we will look at the streets, not at the top of buildings. The motivation of this pa
Externí odkaz:
http://arxiv.org/abs/2002.05540
Successive frames of a video are highly redundant, and the most popular object detection methods do not take advantage of this fact. Using multiple consecutive frames can improve detection of small objects or difficult examples and can improve speed
Externí odkaz:
http://arxiv.org/abs/1903.12049