iLIDS-VID
Emerging5papers using it
2016first seen
The iLIDS-VID dataset is a benchmark for evaluating video-based person re-identification, containing videos of individuals captured by different non-overlapping cameras.
Papers using iLIDS-VID (5)
- Region-based Quality Estimation Network For Large-scale Person Re-identificationSkeletons Speak Louder than Text: A Motion-Aware Pretraining Paradigm for Video-Based Person Re-IdentificationKeyRe-ID: Keypoint-Guided Person Re-Identification using Part-Aware Representation in VideosPerson Re-Identification by Discriminative Selection in Video RankingVideo-Based Convolutional Attention for Person Re-Identification