Object Detection in 20 Years: A Survey
Object detection, as of one the most fundamental and challenging problems in computer vision, has received great attention in recent years. Over the past two decades, we have se...
Publications
View AllBERT4Rec
Modeling users' dynamic preferences from their historical behaviors is challenging and crucial for recommendation systems. Previous methods employ sequential neural networks to ...
Deep Interest Network for Click-Through Rate Prediction
Click-through rate prediction is an essential task in industrial applications, such as online advertising. Recently deep learning based models have been proposed, which follow a...
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
Recently, artificial intelligence and machine learning in general have demonstrated remarkable performances in many tasks, from image processing to natural language processing, ...
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
Research on depth-based human activity analysis achieved outstanding performance and demonstrated the effectiveness of 3D representation for action recognition. The existing dep...
CBNet: A Composite Backbone Network Architecture for Object Detection
top-performing object detectors depend heavily on backbone networks, whose advances bring consistent performance gains through exploring more effective network structures. In th...
Affiliated Researchers
Institution Info
- Type
- company
- Country
- CN
- Publications
- 6
- Citations
- 9,847
External Links
Identifiers
- ROR
- https://ror.org/00k642b80