Kewei Liang — accepted AI-conference papers

2023

PatchDCT: Patch Refinement for High Quality Instance Segmentation

Qinrou Wen, Jirui Yang, Xue Yang, Kewei Liang

ICLR 2023poster

High-quality instance segmentation has shown emerging importance in computer vision. Without any refinement, DCT-Mask directly generates high-resolution masks by compressed vectors. To further refine masks obtained by compressed vectors, we propose for the first time a compressed vector based multi-…

Cited by 22 Source ↗PDF ↗code ↗Scholar ↗

2021

DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation

Xing Shen, Jirui Yang, Chunbo Wei, Bing Deng, Jianqiang Huang, Xian-Sheng Hua +2

CVPR 2021poster

Binary grid mask representation is broadly used in instance segmentation. A representative instantiation is Mask R-CNN which predicts masks on a 28*28 binary grid. Generally, a low-resolution grid is not sufficient to capture the details, while a high-resolution grid dramatically increases the train…

Cited by 88 PDF ↗code ↗Scholar ↗