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Found 5 papers, 2 papers with code
Car Damage Detection and Patch-to-Patch Self-supervised Image Alignment
Most computer vision applications aim to identify pixels in a scene and use them for diverse purposes.
Color-$S^{4}L$: Self-supervised Semi-supervised Learning with Image Colorization
This work addresses the problem of semi-supervised image classification tasks with the integration of several effective self-supervised pretext tasks.
SkateboardAI: The Coolest Video Action Recognition for Skateboarding
Impressed by the coolest skateboarding sports program from 2021 Tokyo Olympic Games, we are the first to curate the original real-world video datasets "SkateboardAI" in the wild, even self-design and implement diverse uni-modal and multi-modal video action recognition approaches to recognize different tricks accurately.
Practical and Private Heterogeneous Federated Learning
Heterogeneous federated learning (HFL) enables clients with different computation/communication capabilities to collaboratively train their own customized models, in which the knowledge of models is shared via clients' predictions on a public dataset.
ExperienceThinking: Constrained Hyperparameter Optimization based on Knowledge and Pruning
Motivated by this, we propose ExperienceThinking algorithm to quickly find the best possible hyperparameter configuration of machine learning algorithms within a few configuration evaluations.
