Search Results for author: Yutian Lin

Found 8 papers, 4 papers with code

Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language Perspective

no code implementations1 Jun 2023 Yingying Fan, Yu Wu, Yutian Lin, Bo Du

Specifically, we design language prompts to describe all cases of event appearance for each video.


Visible-Infrared Person Re-Identification via Patch-Mixed Cross-Modality Learning

no code implementations16 Feb 2023 Zhihao Qian, Yutian Lin, Bo Du

In this paper, we propose a Patch-Mixed Cross-Modality framework (PMCM), where two images of the same person from two modalities are split into patches and stitched into a new one for model learning.

Image Generation Person Re-Identification +2

MixSiam: A Mixture-based Approach to Self-supervised Representation Learning

no code implementations4 Nov 2021 Xiaoyang Guo, Tianhao Zhao, Yutian Lin, Bo Du

In this way, the model could access more variant data samples of an instance and keep predicting invariant discriminative representations for them.

Contrastive Learning Representation Learning

Unsupervised Person Re-identification with Stochastic Training Strategy

2 code implementations16 Aug 2021 Tianyang Liu, Yutian Lin, Bo Du

State-of-the-art unsupervised re-ID methods usually follow a clustering-based strategy, which generates pseudo labels by clustering and maintains a memory to store instance features and represent the centroid of the clusters for contrastive learning.

Contrastive Learning Unsupervised Person Re-Identification

Re-identification = Retrieval + Verification: Back to Essence and Forward with a New Metric

1 code implementation23 Nov 2020 Zheng Wang, Xin Yuan, Toshihiko Yamasaki, Yutian Lin, Xin Xu, Wenjun Zeng

In essence, current re-ID overemphasizes the importance of retrieval but underemphasizes that of verification, \textit{i. e.}, all returned images are considered as the target.

Image Retrieval Retrieval

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