Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Alehdaghi, Mahdi"'
A key challenge in visible-infrared person re-identification (V-I ReID) is training a backbone model capable of effectively addressing the significant discrepancies across modalities. State-of-the-art methods that generate a single intermediate bridg
Externí odkaz:
http://arxiv.org/abs/2403.10782
Visible-infrared person re-identification seeks to retrieve images of the same individual captured over a distributed network of RGB and IR sensors. Several V-I ReID approaches directly integrate both V and I modalities to discriminate persons within
Externí odkaz:
http://arxiv.org/abs/2307.03240
Visible-infrared person re-identification (V-I ReID) seeks to match images of individuals captured over a distributed network of RGB and IR cameras. The task is challenging due to the significant differences between V and I modalities, especially und
Externí odkaz:
http://arxiv.org/abs/2305.00320
The re-identification (ReID) of individuals over a complex network of cameras is a challenging task, especially under real-world surveillance conditions. Several deep learning models have been proposed for visible-infrared (V-I) person ReID to recogn
Externí odkaz:
http://arxiv.org/abs/2211.11925
Visible-infrared person re-identification (ReID) aims to recognize a same person of interest across a network of RGB and IR cameras. Some deep learning (DL) models have directly incorporated both modalities to discriminate persons in a joint represen
Externí odkaz:
http://arxiv.org/abs/2209.09348
Publikováno v:
2015 5th International Conference on Computer & Knowledge Engineering (ICCKE); 2015, p295-300, 6p
