Self-Supervised Person Re-Identification
4 papers with code • 1 benchmarks • 1 datasets
Currently, self-supervised representation learning is mainly tested on image classification tasks, which is not insufficient to verify its effectiveness. It should also be tested in the visual matching task, and pedestrian re-recognition is just such an appropriate task.
Libraries
Use these libraries to find Self-Supervised Person Re-Identification models and implementations
SYSU-30k
Most implemented papers
A Simple Framework for Contrastive Learning of Visual Representations
google-research/simclr
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ICML 2020
This paper presents SimCLR: a simple framework for contrastive learning of visual representations.
Improved Baselines with Momentum Contrastive Learning
Contrastive unsupervised learning has recently shown encouraging progress, e. g., in Momentum Contrast (MoCo) and SimCLR.
Bootstrap your own latent: A new approach to self-supervised Learning
deepmind/deepmind-research
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From an augmented view of an image, we train the online network to predict the target network representation of the same image under a different augmented view.
Solving Inefficiency of Self-supervised Representation Learning
wanggrun/triplet
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ICCV 2021
In this paper, we reveal two contradictory phenomena in contrastive learning that we call under-clustering and over-clustering problems, which are major obstacles to learning efficiency.
