Learning sequence-to-sequence affinity metric for near-online multi-object tracking
In this paper, we propose a sequence-to-sequence affinity metric for the data association of
near-online multi-object tracking. The proposed metric learns the affinity between track …
near-online multi-object tracking. The proposed metric learns the affinity between track …
Learning sequence-to-sequence affinity metric for near-online multi-object tracking
W Feng, L Lan, X Zhang, Z Luo - Knowledge and Information Systems, 2020 - dl.acm.org
In this paper, we propose a sequence-to-sequence affinity metric for the data association of
near-online multi-object tracking. The proposed metric learns the affinity between track …
near-online multi-object tracking. The proposed metric learns the affinity between track …
Learning sequence-to-sequence affinity metric for near-online multi-object tracking
F Weijiang, L Long, X Zhang… - … and Information Systems, 2020 - search.proquest.com
In this paper, we propose a sequence-to-sequence affinity metric for the data association of
near-online multi-object tracking. The proposed metric learns the affinity between track …
near-online multi-object tracking. The proposed metric learns the affinity between track …
Learning sequence-to-sequence affinity metric for near-online multi-object tracking.
W Feng, L Lan, X Zhang, Z Luo - Knowledge & Information …, 2020 - search.ebscohost.com
In this paper, we propose a sequence-to-sequence affinity metric for the data association of
near-online multi-object tracking. The proposed metric learns the affinity between track …
near-online multi-object tracking. The proposed metric learns the affinity between track …