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Wu Z, Yu X, Zhu D, Pang Q, Shen S, Ma T, Zheng J.Wu Z, et al.Comput Intell Neurosci. 2022 Jul 5;2022:4398727. doi: 10.1155/2022/4398727. eCollection 2022.Comput Intell Neurosci. 2022.PMID: 35837221Free PMC article.
We design a global-local feature extraction network guided by human pose estimation, named FENet-ReID. The FENet-ReID obtains the final features through multistage feature extraction and multiscale feature fusion for the Re-ID task. ...
We design a global-local feature extraction network guided by human pose estimation, named FENet-ReID. The FENet-ReID obtains …
A suitable alternative of determining the coccidia status in a broiler population is the "modified Johnson-Reid method". This method makes a standardization of diagnostic finding and evaluation possible as well as a differentiated intestinal localization and the determinat …
A suitable alternative of determining the coccidia status in a broiler population is the "modified Johnson-Reid method". This method …
Qian Y, Barthelemy J, Iqbal U, Perez P.Qian Y, et al.Sensors (Basel). 2022 Nov 9;22(22):8651. doi: 10.3390/s22228651.Sensors (Basel). 2022.PMID: 36433251Free PMC article.
More specifically, vehicle re-identification (ReID) aims to identify cars in a camera network with non-overlapping views. Images captured of vehicles can undergo intense variations of appearance due to illumination, pose, or viewpoint. ...Following the success of Transform …
More specifically, vehicle re-identification (ReID) aims to identify cars in a camera network with non-overlapping views. Images capt …
Day M, Kuzin J, Spencer M, Hilliard T, Phillips P, Moore A.Day M, et al.Nursing. 2024 Feb 1;54(2):27-31. doi: 10.1097/01.NURSE.0000997984.19998.cf.Nursing. 2024.PMID: 38271126Review.
Yu Z, Shen D, Jin Z, Huang J, Cai D, Hua XS.Yu Z, et al.IEEE Trans Image Process. 2022;31:1340-1348. doi: 10.1109/TIP.2022.3141258. Epub 2022 Jan 25.IEEE Trans Image Process. 2022.PMID: 35025744
Model fine-tuning is a widely used transfer learning approach in person Re-identification (ReID) applications, which fine-tuning a pre-trained feature extraction model into the target scenario instead of training a model from scratch. ...Based on BConv-Cells, we further pr …
Model fine-tuning is a widely used transfer learning approach in person Re-identification (ReID) applications, which fine-tuning a pr …
Pu N, Zhong Z, Sebe N, Lew MS.Pu N, et al.IEEE Trans Pattern Anal Mach Intell. 2023 Nov;45(11):13567-13585. doi: 10.1109/TPAMI.2023.3297058. Epub 2023 Oct 3.IEEE Trans Pattern Anal Mach Intell. 2023.PMID: 37467084
In this paper, we introduce a challenging yet practical setting for person re-identification (ReID) task, named lifelong person re-identification (LReID), which aims to continuously train a ReID model across multiple domains and the trained model is required to gene …
In this paper, we introduce a challenging yet practical setting for person re-identification (ReID) task, named lifelong person re-id …
