A fundamental task for knowledge graphs (KGs) is knowledge graph complet...
Existing detection methods commonly use a parameterized bounding box (BB...
State estimation is an essential part of autonomous systems. Integrating...
Deep Neural Network (DNN) are vulnerable to adversarial attacks. As a
co...
Differing from the well-developed horizontal object detection area where...
Adversarial training has been empirically proven to be one of the most
e...
Recent studies suggest that “memorization” is one important factor for
o...
Existing rotated object detectors are mostly inherited from the horizont...
Boundary discontinuity and its inconsistency to the final detection metr...
Rotation detection serves as a fundamental building block in many visual...
Dialogue systems play an increasingly important role in various aspects ...
Representation learning has been proven to play an important role in the...
Recent years have witnessed a boom of connected medical devices, which b...
Controlled generation of text is of high practical use. Recent efforts h...
We introduce Texar, an open-source toolkit aiming to support the broad s...