Search Results for author: Shunan Mao

Found 2 papers, 1 papers with code

Deep Active Learning for Computer Vision: Past and Future

no code implementations27 Nov 2022 Rinyoichi Takezoe, Xu Liu, Shunan Mao, Marco Tianyu Chen, Zhanpeng Feng, Shiliang Zhang, Xiaoyu Wang

As an important data selection schema, active learning emerges as the essential component when iterating an Artificial Intelligence (AI) model.

Active Learning

Resolution-invariant Person Re-Identification

1 code implementation24 Jun 2019 Shunan Mao, Shiliang Zhang, Ming Yang

RIFE adopts two feature extraction streams weighted by a dual-attention block to learn features for low and high resolution images, respectively.

Person Re-Identification Super-Resolution

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