Instance-Based Continual Learning: A Real-World Dataset and Baseline for Fresh Recognition
Abstract
References
Index Terms
- Instance-Based Continual Learning: A Real-World Dataset and Baseline for Fresh Recognition
Recommendations
A Sphere-Description-Based Approach for Multiple-Instance Learning
Multiple-instance learning (MIL) is a generalization of supervised learning which addresses the classification of bags. Similar to traditional supervised learning, most of the existing MIL work is proposed based on the assumption that a representative ...
Faster Convergence and Uncorrelated Gradients in Self-Supervised Online Continual Learning
Computer Vision – ACCV 2024AbstractSelf-Supervised Online Continual Learning (SSOCL) focuses on continuously training neural networks from data streams. This presents a more realistic Self-Supervised Learning (SSL) problem setting, where the goal is to learn directly from real-...
Online continual learning for human activity recognition
AbstractSensor-based human activity recognition (HAR), with the ability to recognise human activities from wearable or embedded sensors, has been playing an important role in many applications including personal health monitoring, smart home, and ...
Comments
Information & Contributors
Information
Published In
![cover image ACM Transactions on Multimedia Computing, Communications, and Applications](/cms/asset/ed8a8d29-adcb-49df-83ca-81fa5bc15619/3613542.cover.jpg)
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
Funding Sources
- “Pioneer” and “Leading Goose” R&D Program of Zhejiang
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Natural Science Foundation of Zhejiang province
- Fundamental Research Funds for the Central Universities
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 622Total Downloads
- Downloads (Last 12 months)294
- Downloads (Last 6 weeks)19
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in