![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
Tracking Small and Fast Moving Objects: A Benchmark
With more and more large-scale datasets available for training, visual tracking has made great progress in recent years. However, current research in the field mainly focuses on tracking generic objects. In th...
-
Chapter and Conference Paper
Detection Beyond What and Where: A Benchmark for Detecting Occlusion State
Object detection is a computer vision technique that provides the most fundamental information for computer vision applications: “What objects are where?”, which has achieved significant progress thanks to the...
-
Chapter and Conference Paper
The 1st Tiny Object Detection Challenge: Methods and Results
The 1st Tiny Object Detection (TOD) Challenge aims to encourage research in develo** novel and accurate methods for tiny object detection in images which have wide views, with a current focus on tiny person ...
-
Chapter and Conference Paper
Analysis on the Application of AI Technology in Online Education Under the Public Epidemic Crisis
In order to prevent the spread of COVID-19, online education has become a learning way for primary and secondary schools and universities. However, the rapid development of online education faces many challeng...
-
Chapter and Conference Paper
Inferring Travel Purposes for Transit Smart Card Data Using
Understanding travel purposes is crucial for urban transportation planning and resource allocation. Conventionally, travel purposes are obtained from household travel survey, however, household travel survey i...