Federated Learning (FL) presents an innovative approach to privacy-prese...
Skeleton-based action recognition has achieved remarkable results in hum...
Embedding-based Retrieval (EBR) in e-commerce search is a powerful searc...
Federated learning (FL) is identified as a crucial enabler for large-sca...
Effective image retrieval with text feedback stands to impact a range of...
This paper presents a hierarchical segment-based optimization method for...
Recent advances have enabled a single neural network to serve as an impl...
Neural network-based semantic segmentation has achieved remarkable resul...
Features play an important role in various visual tasks, especially in v...
With the rapid deployment of service robots, a method should be establis...
Land-cover classification using remote sensing imagery is an important E...
Image keypoint extraction is an important step for visual localization. ...
Modern CNN-based object detectors focus on feature configuration during
...
That most deep learning models are purely data driven is both a strength...
Service robots should be able to operate autonomously in dynamic and dai...