Both CNN-based and Transformer-based object detection with bounding box
...
Label-noise learning (LNL) aims to increase the model's generalization g...
Adversarial training (AT) is a robust learning algorithm that can defend...
Learning with sparse rewards is usually inefficient in Reinforcement Lea...
Traditional biological and pharmaceutical manufacturing plants are contr...
Efficient and effective learning is one of the ultimate goals of the dee...
Lip sync has emerged as a promising technique to generate mouth movement...
Botnet, a group of coordinated bots, is becoming the main platform of
ma...
Correlated anomaly detection (CAD) from streaming data is a type of grou...
Recommender systems are aimed at generating a personalized ranked list o...
Infinite population models are important tools for studying population
d...