Large-Scale Person Re-Identification
6 papers with code • 0 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Large-Scale Person Re-Identification
Occluded-DukeMTMC
LPW
Most implemented papers
Simple Online and Realtime Tracking with a Deep Association Metric
nwojke/deep_sort
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Simple Online and Realtime Tracking (SORT) is a pragmatic approach to multiple object tracking with a focus on simple, effective algorithms.
Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification
longcw/MOTDT
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Online multi-object tracking is a fundamental problem in time-critical video analysis applications.
Pedestrian Alignment Network for Large-scale Person Re-identification
This task aims to search a query person in a large image pool.
Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification
VideoObjectSearch/RandPerson
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To address this, we propose to automatically synthesize a large-scale person re-identification dataset following a set-up similar to real surveillance but with virtual environments, and then use the synthesized person images to train a generalizable person re-identification model.
Progressive Bilateral-Context Driven Model for Post-Processing Person Re-Identification
Most existing person re-identification methods compute pairwise similarity by extracting robust visual features and learning the discriminative metric.
The Self-Optimal-Transport Feature Transform
DanielShalam/SOT
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The Self-Optimal-Transport (SOT) feature transform is designed to upgrade the set of features of a data instance to facilitate downstream matching or grouping related tasks.
