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Oct 22, 2021 · We propose a Single Feature Attention Learning Network (SFALN). The proposed network makes use of the abundant ReID datasets by transfer learning.
The proposed network makes use of the abundant ReID datasets by transfer learning, and extracts effective feature information of the groups through attention ...
Jan 12, 2024 · The proposed network makes use of the abundant ReID datasets by transfer learning, and extracts effective feature information of the groups ...
Group re-identification aims to match groups of people across disjoint cameras. In this task, the contextual information from neighbor individuals can be ...
-- Group Re-Identification Based on single feature attention learning network(SFALN) -- Contrastive Cycle Consistency Learning for Unsupervised Visual ...
... Network for Context-Aware Feature Sequence Based Person Re-identification ... Group Re-Identification Based on Single Feature Attention Learning Network (SFALN).
Apr 29, 2021 · We propose a novel unified framework based on graph neural networks to simultaneously address the group-based re-id tasks, i.e., group re-id and ...
Missing: (SFALN). | Show results with:(SFALN).
... Group re-identification based on single feature attention learning network (SFALN). ... one-shot video-based person re-identification by stepwise learning.
Coarse-to-fine: A rnn-based hierarchical attention model for vehicle re-identification. In Asian Conference on Com- puter Vision, pages 575–591. Springer ...
Missing: (SFALN). | Show results with:(SFALN).