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Search results for deep learning person reidentification
deep-learning
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person-reidentification
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17 search results found
Deep Person Reid
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4,029
Torchreid: Deep learning person re-identification in PyTorch.
Open Reid
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1,012
Open source person re-identification library in python
Person_search
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709
Joint Detection and Identification Feature Learning for Person Search
Dgd_person_reid
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223
Domain Guided Dropout for Person Re-identification
Awesome Person Re Identification
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198
Awesome Person Re-Identification
Self Similarity Grouping
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188
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification (ICCV 2019, Oral)
Multi Camera Person Re Identification
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154
State-of-the-art model for person re-identification in Multi-camera Multi-Target Tracking. Benchmarked on Market-1501 and DukeMTMTC-reID datasets.
Person Reid Gan Pytorch
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133
A Pytorch Implementation of "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro"(ICCV17)
Bpbreid
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111
A strong baseline for body part-based person re-identification (check our WACV23 paper)
Dmml
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87
code for ICCV19 paper "Deep Meta Metric Learning"
Deep Association Learning
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60
Code on Paper [BMVC2018]Deep Association Learning for Unsupervised Video Person Re-identification
Aos4reid
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26
Adversarially Occluded Samples for Person Re-identification, CVPR 2018
Hjl Re Id
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24
A awesome project for person re-id. There are re-implements of PCB, MGN, MDRS(ours), PGFA, Pyramidal and HOReID.
Scan
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20
Code for Self-and-Collaborative Attention Network from "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification" TIP2019
Person Reid Incremental
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14
Incremental Learning in Person Re-Identification
Person Reidentification Attention
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12
Person Re-identification is the task of matching images of a person across multiple camera views
Top Dropblock
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11
Official implementation of "Top Batch DropBlock for Person Re-Identification" ICPR 2020
Person Re Identification
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9
Person re-identification, a tool used in intelligent video surveillance, is the task of correctly identifying individuals across multiple images captured under varied scenarios from multiple cameras. Solving this problem is inherently a challenging one because of the issues posed to it by low resolution images, illumination changes per image, unconstrained pose and occlusions.
Sirnet
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8
Sampling Agnostic Feature Representation for Long-Term Person Re-identification
Saliency Semantic Parsing Reid
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6
Implementation of "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models" IMAVIS 2019
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