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Visible Infrared Cross-Modality Person Re-Identification Network Based on Adaptive Person Alignment
時間 2021-01-04
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跨模態行人重識別
紅外圖片識別
對齊
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原文鏈接
論文名字:基於自適應對齊的可見紅外多模態行人重識別 論文鏈接: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8913562. 文章目錄 1 摘要 2 理論研究(MAPAN) 2 結果分析 1 摘要 可見光紅外行人再識別(VI-Reid)除了由於攝像光譜不同造成的跨模態差異外,仍然存在較大的行人錯位問題,以及傳統的人再識別一樣,由
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相關文章
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2019 IEEE Access之ReID: Person Re-Identification Between Visible and Thermal Camera Images Based on
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2019 TCSVT之ReID:SDL: Spectrum-Disentangled Representation Learning for Visible-Infrared Person Re-id
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19 CVPR之ReID:Learning to Reduce Dual-level Discrepancy for Infrared-Visible Person Re-identification
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2019 TIP之ReID:Learning Modality-Specific Representations for Visible-Infrared Person Re-Identificati
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2019 CVPR之ReID:Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Id
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2020ECCV之ReID:Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identificat
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SYSU-MM01的多模態Re-ID數據集 異構Heterogeneous person reidentification
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part-aligned系列論文:1707.ICCV.Pedestrian Alignment Network for Large-scale Person Re-identification 論文
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2017 ICCV之ReID:RGB-Infrared Cross-Modality Person Re-Identification
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相關文章
1.
2019 IEEE Access之ReID: Person Re-Identification Between Visible and Thermal Camera Images Based on
2.
2019 TCSVT之ReID:SDL: Spectrum-Disentangled Representation Learning for Visible-Infrared Person Re-id
3.
19 CVPR之ReID:Learning to Reduce Dual-level Discrepancy for Infrared-Visible Person Re-identification
4.
2019 TIP之ReID:Learning Modality-Specific Representations for Visible-Infrared Person Re-Identificati
5.
2019 CVPR之ReID:Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Id
6.
2020ECCV之ReID:Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identificat
7.
SYSU-MM01的多模態Re-ID數據集 異構Heterogeneous person reidentification
8.
part-aligned系列論文:1707.ICCV.Pedestrian Alignment Network for Large-scale Person Re-identification 論文
9.
2017 ICCV之ReID:RGB-Infrared Cross-Modality Person Re-Identification
10.
Collaborative Attention Network for Person Re-identification
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