Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-id
Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification(CVPR2019) 1. 簡介 論文考慮了行人重識別的一個現實問題，局部行人重識別問題，如果直接將局部行人圖像與整體的行人圖像進行比較，空間錯位問題將會極大地減弱特徵學習的判別能力。提
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相關文章
- 1. Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-id
- 2. Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-ID
- 3. 【ReID】Learning Discriminative Features with Multiple Granularities for Person Re-identification
- 4. 【ReID】Hierarchical and Efficient Learning for Person Re-Identification
- 5. 《Learning Part-based Convolutional Features for Person Re-identification》TPAMI2019
- 6. CVPR2019行人重識別論文筆記1904.00537：Learning Visibility-aware Part-level Features for Partial Person Re-id
- 7. 【Person Re-ID】Deep-Person: Learning Discriminative Deep Features for Person Re-Identification
- 8. VPM 行人局部特徵可見感知學習ReID
- 9. Person Re-Identification (ReID), a New Facial Recognition Record
- 10. 【ReID】【Skimming】Unsupervised Cross-Dataset Transfer Learning for Person Re-identification