In this work, we propose an error correction framework, named DiaCorrect...
Recent advances in detecting arbitrary objects in the real world are tra...
In recent years, speaker diarization has attracted widespread attention....
Learning from a few training samples is a desirable ability of an object...
We propose two improvements to target-speaker voice activity detection
(...
Object detection has achieved substantial progress in the last decade.
H...
The performance of object detection, to a great extent, depends on the
a...
This report presents the approach used in the submission of the LVIS
Cha...
Feature pyramid networks have been widely adopted in the object detectio...
Current object detection frameworks mainly rely on bounding box regressi...
We present MMDetection, an object detection toolbox that contains a rich...
It is a common paradigm in object detection frameworks to treat all samp...