May 18, 2021 · It is the first paper that explores a realistic vision-based solution for the garbage recognition with a real-world dataset and a comprehensive benchmark.
Oct 22, 2024 · In this paper, we present a novel incremental learning framework, GarbageNet, to address the aforementioned challenges. Firstly, weakly- ...
In this article, we present a novel incremental learning framework, GarbageNet, to address the aforementioned challenges.
A novel incremental learning framework for garbage classification that addresses several challenges and achieves state-of-the-art performance, ...
Secondly, for new categories of garbages,. GarbageNet embeds them as anchors for reference and classifies the test samples by finding their nearest neighbors in ...
Xie, "GarbageNet: A Unified Learning Framework for Robust. Garbage Classification," in IEEE Transactions on Artificial Intelligence, vol. 2, no. 4, pp. 372 ...
GarbageNet: a unified learning framework for robust garbage classification. J Yang, Z Zeng, K Wang, H Zou, L Xie. IEEE Transactions on Artificial Intelligence ...
People also ask
What is common garbage classification using MobileNet?
Why is garbage classification important?
Xie, “Garbagenet: A unified learning framework for robust garbage classification,” IEEE Transactions on Artificial Intelligence, vol. 2, no. 4, pp. 372–380 ...
IEEE Transactions on Artificial Intelligence - Table of Contents
www.computer.org › journal › 2021/04
GarbageNet: A Unified Learning Framework for Robust Garbage Classification pp. 372-380. YogaHelp: Leveraging Motion Sensors for Learning Correct Execution of ...
Apr 19, 2024 · In this method, a novel incremental learning framework called GarbageNet is proposed to address these challenges. The method uses a weakly ...