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Zhiqiang Bai

2 accepted papers

2020

Arnet: Attention-Based Refinement Network for Few-Shot Semantic Segmentation

ICASSP 2020accepted

Semantic segmentation is a challenging task for computer vision which aims to classify the objects from the pixel level. Previous methods based on deep learning have made some progress but the labeling work is very time-consuming. Few-shot semantic segmentation can alleviate this problem. In this pa…

Cited by 0SourceScholar
2020

C3DVQA: Full-Reference Video Quality Assessment with 3D Convolutional Neural Network

ICASSP 2020accepted

Traditional video quality assessment (VQA) methods evaluate localized picture quality and video score is predicted by temporally aggregating frame scores. However, video quality exhibits different characteristics from static image quality due to the existence of temporal masking effects. In this pap…

Cited by 0SourceScholar