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May 23, 2024 · In this paper, we propose a novel Multi-scale Feature Aggregation Network (MFANet) for video-based person Re-ID.
Multi-scale spatio-temporal feature adaptive aggregation for video-based Person Re-identification. https://doi.org/10.1016/j.knosys.2024.111980 ·. Journal ...
Jan 2, 2023 · Inspired by video representation learning, these methods mainly focus on designing modules to extract informative spatial and temporal features.
Missing: scale adaptive
Video-based person re-identification aims to associate the video clips of the same person across multiple non- overlapping cameras. Spatial-temporal ...
For video-based person re-identification (Re-ID), effectively aggregating video features is the key to dealing with various complicated situations.
Mar 30, 2024 · To improve video-based person ReID, we aimed to extract consistent spatial and temporal cues, and aggregated this information for complementary ...
In this paper, we propose a novel deep neural network based attention model to learn the representative local regions from a video sequence for person ...
Dec 28, 2020 · Abstract—Temporal cues embedded in videos provide impor- tant clues for person Re-Identification (ReID). To efficiently.
In this paper, we propose a novel deep neural network based attention model to learn the representative local regions from a video sequence for person ...
For video-based person re-identification (Re-ID), effectively aggregating video features is the key to dealing with various complicated situations.