https://proceedings.neurips.cc/paper_files/paper/2017/hash/d8bf84be3800d12f74d8b05e9b89836f-Abstract.html PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space Requests for name changes in the electronic proceedings will be accepted with no questions asked. However name changes may cause bibliographic tracking issues. Authors are asked to consider this carefully and disc..
https://openaccess.thecvf.com/content/ICCV2021/html/Luo_Exploring_Simple_3D_Multi-Object_Tracking_for_Autonomous_Driving_ICCV_2021_paper.html ICCV 2021 Open Access Repository Exploring Simple 3D Multi-Object Tracking for Autonomous Driving Chenxu Luo, Xiaodong Yang, Alan Yuille; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021, pp. 10488-10497 Abstract 3D mult..
https://arxiv.org/abs/2110.06864 ByteTrack: Multi-Object Tracking by Associating Every Detection Box Multi-object tracking (MOT) aims at estimating bounding boxes and identities of objects in videos. Most methods obtain identities by associating detection boxes whose scores are higher than a threshold. The objects with low detection scores, e.g. occluded arxiv.org 이 논문은 data association 기법을 제안하는..
https://arxiv.org/abs/2012.15460 TransTrack: Multiple Object Tracking with Transformer In this work, we propose TransTrack, a simple but efficient scheme to solve the multiple object tracking problems. TransTrack leverages the transformer architecture, which is an attention-based query-key mechanism. It applies object features from the previ arxiv.org 이번에 리뷰할 논문은 2D MOT 논문으로 transformer를 이용한 Joi..
