2016 CVPR-Learning Deep Feature Representations with Domain Guided Dropout for Person Re-ID - 代码天地

2016 CVPR-Learning Deep Feature Representations with Domain Guided Dropout for Person Re-ID

其他 2018-09-28 04:42:57 阅读次数: 0

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转载自blog.csdn.net/weixin_41427758/article/details/80468019

2016 CVPR-Learning Deep Feature Representations with Domain Guided Dropout for Person Re-ID

Re-ID: Learning Deep Feature Representation with Domain Guided Dropout for Person Re-identifiation

2017-CVPR-Spindle Net: Person Re-identification with Human Body Region Guided Feature

For Cross-Domain person Re-ID 文献速览

2016 Deep Transfer Learning for Person Re-identification

论文笔记（2）--（Re-ID） Learning Discriminative Features with Multiple Granularities for Person Re-Id

CVPR2019 paper list for Person Re-ID

论文笔记（11）--（Re-ID）Deep Group-shuffling Random Walk for Person Re-id

论文之FD-GAN: Pose-guided Feature Distilling GAN for Re-id

论文笔记15 --（Re-ID）SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification

Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-id

Instance-Guided Context Rendering for Cross-Domain Person Re-Identification

论文阅读笔记（三十九）【CVPR2017】：Spindle Net Person Re-identiﬁcation with Human Body Region Guided Feature Decomposition and Fusion

person re-id reference

Re-ID: Person Re-identification by Local Maximal Occurrence Representation and Metric Learning 论文解析

Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Ident

CVPR19_Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification

Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-id

【论文笔记】Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID

Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID

deep_learning_Dropout

2018 CVPR-Person Transfer GAN to Bridge Domain Gap for Person Re-Identification

2015 CVPR-An Improved Deep Learning Architecture for Person Re-Identification

Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-free Approach笔记

Deep Spatial Feature Reconstruction for Partial Person Re-identification: Freestyle Approach（CV18）

deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free Approach

PartialReID-----Deep Spatial Feature Reconstruction for Partial Person Re-identification: Freestyle Approach（CV18）

【行人识别】Deep Transfer Learning for Person Re-identification

《Deep Transfer Learning for Person Re-identification》-阅读笔记

Hard-sample Guided Hybrid Contrast Learning for Unsupervised Person Re-Identification

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