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Plops: Prototypical Normalization and Localization-Aware Learning for Person Search

https://doi.org/10.2139/ssrn.4683592
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inferredcites →https://doi.org/10.1007/978-3-030-01234-2_45openalex-extracted
Person Search via a Mask-Guided Two-Stream CNN Model
inferredcites →https://doi.org/10.1007/978-3-030-01246-5_33openalex-extracted
Person Search by Multi-Scale Matching
inferredcites →https://doi.org/10.1007/978-3-030-58452-8_13openalex-extracted
End-to-End Object Detection with Transformers
inferredcites →https://doi.org/10.1007/978-3-030-58517-4_41openalex-extracted
Memory-Efficient Incremental Learning Through Feature Adaptation
inferredcites →https://doi.org/10.1007/978-3-030-58610-2_9openalex-extracted
Rethinking the Distribution Gap of Person Re-identification with Camera-Based Batch Normalization
inferredcites →https://doi.org/10.1007/978-3-031-20080-9_36openalex-extracted
OIMNet++: Prototypical Normalization and Localization-Aware Learning for Person Search
inferredcites →https://doi.org/10.1007/s11263-019-01269-yopenalex-extracted
SSN: Learning Sparse Switchable Normalization via SparsestMax
inferredcites →https://doi.org/10.1016/j.patrec.2022.01.021openalex-extracted
IoU-Balanced loss functions for single-stage object detection
inferredcites →https://doi.org/10.1038/srep01376openalex-extracted
Unique in the Crowd: The privacy bounds of human mobility
inferredcites →https://doi.org/10.1098/rsta.2015.0202openalex-extracted
Principal component analysis: a review and recent developments
inferredcites →https://doi.org/10.1109/cvpr.2015.7298832openalex-extracted
Person re-identification by Local Maximal Occurrence representation and metric learning
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-extracted
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.360openalex-extracted
Joint Detection and Identification Feature Learning for Person Search
inferredcites →https://doi.org/10.1109/cvpr.2017.472openalex-extracted
Fully Convolutional Instance-Aware Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2019.00053openalex-extracted
SSN: Learning Sparse Switchable Normalization via SparsestMax
inferredcites →https://doi.org/10.1109/cvpr.2019.00090openalex-extracted
Query-Guided End-To-End Person Search
inferredcites →https://doi.org/10.1109/cvpr.2019.00753openalex-extracted
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00266openalex-extracted
Instance Guided Proposal Network for Person Search
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00291openalex-extracted
Bi-Directional Interaction Network for Person Search
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00321openalex-extracted
Style Normalization and Restitution for Generalizable Person Re-Identification
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00686openalex-extracted
Robust Partial Matching for Person Search in the Wild
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00701openalex-extracted
Semantic Drift Compensation for Class-Incremental Learning
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00975openalex-extracted
Momentum Contrast for Unsupervised Visual Representation Learning
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01197openalex-extracted
TCTS: A Task-Consistent Two-Stage Framework for Person Search
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01263openalex-extracted
Norm-Aware Embedding for Efficient Person Search
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00343openalex-extracted
Meta Batch-Instance Normalization for Generalizable Person Re-Identification
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00483openalex-extracted
Prototype-Guided Saliency Feature Learning for Person Search
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01215openalex-extracted
Cross-Iteration Batch Normalization
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00712openalex-extracted
Cascade Transformers for End-to-End Person Search
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00924openalex-extracted
PSTR: End-to-End One-Step Person Search With Transformers
inferredcites →https://doi.org/10.1109/cvprw.2019.00190openalex-extracted
Bag of Tricks and a Strong Baseline for Deep Person Re-Identification
inferredcites →https://doi.org/10.1109/iccv.2015.133openalex-extracted
Scalable Person Re-identification: A Benchmark
inferredcites →https://doi.org/10.1109/iccv.2017.256openalex-extracted
RMPE: Regional Multi-person Pose Estimation
inferredcites →https://doi.org/10.1109/iccv.2019.00991openalex-extracted
Re-ID Driven Localization Refinement for Person Search
inferredcites →https://doi.org/10.1109/tpami.2021.3054775openalex-extracted
Deep Learning for Person Re-Identification: A Survey and Outlook
inferredcites →https://doi.org/10.1109/tpami.2023.3250241openalex-extracted
Normalization Techniques in Training DNNs: Methodology, Analysis and Application
inferredcites →https://doi.org/10.1609/aaai.v35i2.16241openalex-extracted
Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search
inferredcites →https://doi.org/10.1609/aaai.v35i3.16297openalex-extracted
Sequential End-to-end Network for Efficient Person Search
inferredcites →https://doi.org/10.48550/arxiv.1502.03167openalex-extracted
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
inferredcites →https://doi.org/10.48550/arxiv.1604.01850openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1607.08022openalex-extracted
Instance Normalization: The Missing Ingredient for Fast Stylization
inferredcites →https://doi.org/10.48550/arxiv.1610.02984openalex-extracted
Person Re-identification: Past, Present and Future
inferredcites →https://doi.org/10.48550/arxiv.1612.00137openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1702.03275openalex-extracted
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
inferredcites →https://doi.org/10.48550/arxiv.1706.02677openalex-extracted
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
inferredcites →https://doi.org/10.48550/arxiv.1802.03133openalex-extracted
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches
inferredcites →https://doi.org/10.48550/arxiv.1805.11604openalex-extracted
How Does Batch Normalization Help Optimization?
inferredcites →https://doi.org/10.48550/arxiv.1903.07071openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1906.03950openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1908.01259openalex-extracted
Attentive Normalization
inferredcites →https://doi.org/10.48550/arxiv.1911.05722openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2001.04193openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2004.00440openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2005.10242openalex-extracted
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
inferredcites →https://doi.org/10.48550/arxiv.2005.11037openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2011.14670openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2105.04553openalex-extracted
Self-Supervised Learning with Swin Transformers
inferredcites →https://doi.org/10.48550/arxiv.2207.10320openalex-extracted
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