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Tingqun Ye

2 accepted papers

2022

Dual Decoupling Training for Semi-supervised Object Detection with Noise-Bypass Head

AAAI 2022technical

Pseudo bounding boxes from the self-training paradigm are inevitably noisy for semi-supervised object detection. To cope with that, a dual decoupling training framework is proposed in the present study, i.e. clean and noisy data decoupling, and classification and localization task decoupling. In the…

Cited by 12SourcePDFScholar
2022

SOIT: Segmenting Objects with Instance-Aware Transformers

AAAI 2022technical

This paper presents an end-to-end instance segmentation framework, termed SOIT, that Segments Objects with Instance-aware Transformers. Inspired by DETR, our method views instance segmentation as a direct set prediction problem and effectively removes the need for many hand-crafted components like R…