Search Results for author: Yongqiang Qin

Found 7 papers, 2 papers with code

Zero-Shot Instance Segmentation

4 code implementations CVPR 2021 Ye Zheng, JiaHong Wu, Yongqiang Qin, Faen Zhang, Li Cui

We follow this motivation and propose a new task set named zero-shot instance segmentation (ZSI).

Instance Segmentation object-detection +4

Towards Understanding the Cause of Error in Few-Shot Learning

no code implementations1 Jan 2021 Liang Song, Jinlu Liu, Yongqiang Qin

We first introduce and derive a theoretical upper bound of error rate which is constrained to 1) linear separability in the learned embedding space and 2) discrepancy of task-specific and task-independent classifier.

Few-Shot Learning

BiOpt: Bi-Level Optimization for Few-Shot Segmentation

no code implementations23 Nov 2020 Jinlu Liu, Liang Song, Yongqiang Qin

On each task, the inner loop aims to learn optimized prototypes from the query images.

Prototype Refinement Network for Few-Shot Segmentation

no code implementations10 Feb 2020 Jinlu Liu, Yongqiang Qin

Furthermore, to extract representative prototypes of the new classes, we use adaptation and fusion for prototype refinement.

Segmentation Semantic Segmentation

Accurate Face Detection for High Performance

no code implementations5 May 2019 Faen Zhang, Xinyu Fan, Guo Ai, Jianfei Song, Yongqiang Qin, Jia-Hong Wu

Face detection has witnessed significant progress due to the advances of deep convolutional neural networks (CNNs).

Data Augmentation Face Detection +5

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