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Haoquan Li

2 accepted papers

2023

Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation

AAAI 2023technical

Unsupervised image segmentation aims to match low-level visual features with semantic-level representations without outer supervision. In this paper, we address the critical properties from the view of feature alignments and feature uniformity for UISS models. We also make a comparison between UISS…

Cited by 22SourcePDFScholar
2022

TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot Learning

ECCV 2022poster

"This paper presents a transformer framework for few-shot learning, termed TransVLAD, with one focus showing the power of locally aggregated descriptors for few-shot learning. Our TransVLAD model is simple: a standard transformer encoder following a NeXtVLAD aggregation module to output the locally…

Cited by 10SourcePDFScholar