Recently, the tokens of images share the same static data flow in many d...
Recent advances have indicated the strengths of self-supervised pre-trai...
Recently few-shot object detection is widely adopted to deal with
data-l...
We propose a dense object detector with an instance-wise sampling strate...
In this report, we present our object detection/instance segmentation sy...
Dense object detectors rely on the sliding-window paradigm that predicts...
Tensor methods have gained increasingly attention from various applicati...
Image pattern recognition is an important area in digital image processi...