In this paper, we present Stitcher, a feedback-driven data provider, which aims to train object detectors in a balanced way. In Stitcher, images are resized ...
Stitcher proposed two methods to stitch multiple images into one, either along spatial dimension or along channel dimension. The first one is similar to the ...
Inspired by this finding, we present Stitcher, a feedback-driven data provider, which aims to train object detectors in a balanced way. In Stitcher, images are ...
Stitcher is presented, a feedback-driven data provider, which aims to train object detectors in a balanced way, and steadily improves performance by a large ...
Missing: github | Show results with:github
Apr 26, 2020 · We propose a Dynamic Scale Training paradigm (abbreviated as DST) to mitigate scale variation challenge in object detection.
A minimalistic webpage generated with Github io can be found here. About ... Stitcher: Feedback-driven Data Provider for Object Detection [Notes]; SKNet ...
We propose a graph-based approach to entity stitching and resolution. Briefly, our approach uses clique detection to do the stitching and resolution as follows:.
Missing: driven | Show results with:driven
This repository contains my paper reading notes on deep learning and machine learning. It is inspired by Denny Britz and Daniel Takeshi.
May 9, 2020 · 针对小目标的检测性能低，利用小目标训练损失比例反馈驱动，旨在以平衡的方式训练目标检测器来提高检测性能。 &Problem Statement. Multi-scale training.
Tech Report. Stitcher: Feedback-driven data provider for object detection. Yukang Chen, Peizhen Zhang, Zeming Li, Yanwei Li, Xiangyu Zhang, and 4 more authors.
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