【FSR】Feature Space Regularization for Person Re-Identification with One Sample
Feature Space Regularization for Person Re-Identification with One Sample Abstract I. INTRODUCTION Framework. Our Method. II. RELATED WORKS A. Supervised Re-ID B. Semi-supervised Re-ID C. Unsupervised
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相關文章
- 1. 【PLPR】Progressive Learning for Person Re-Identification with One Example
- 2. Re-ID: Learning Deep Feature Representation with Domain Guided Dropout for Person Re-identifiation
- 3. 【VSA】One-shot video-based person re-identification with variance subsampling algorithm
- 4. READING NOTE: Learning Spatial Regularization with Image-level Supervisions for Multi-label ...
- 5. SSPP-DAN: DEEP DOMAIN ADAPTATION NETWORK FOR FACE RECOGNITION WITH SINGLE SAMPLE PER PERSON
- 6. Local Generic Representation for Face Recognition with Single Sample per Person (ACCV, 2014)
- 7. ZOJ_3329 One Person Game
- 8. 2019 CVPR之ReID：Towards Rich Feature Discovery with Class Activation Maps Augmentation for Person Re-
- 9. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
- 10. Person search: Joint Detection and Identification Feature Learning for Person Search筆記