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Robust visual place recognition with adaptive deformable token aggregation

delete2025-08-06
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PRE
AI
C
Chaoqun Wang *
Y
Yun Li
S
Shaobo Min
陈雪锦 (Xuejin Chen)
DOI:10.1016/j.cag.2025.104342delete
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Abstract

Abstract

En 中文
• Proposes ADTA-VPR, a robust framework for visual place recognition under complex conditions. • Introduces Deformable Token Merging to adaptively downsample features with spatial flexibility. • Designs Prototype-guided Token Aggregation to suppress redundancy and enhance distinctiveness. • Constructs FCBR, a VPR benchmark with realistic photographic degradations. • Achieves state-of-the-art performance on diverse and challenging VPR benchmarks.
Keywords:
ADTA-VPR
Deformable Token Merging
Prototype-guided Token Aggregation
FCBR benchmark
Visual Place Recognition

Journal

C
Computers
IF:
4.2
Papers:
1.4K
Citations:
3.3K

Organization

T
tencent data platform, shenzhen
Scholars:
1
Papers: 1
Citations: 0
S
south china normal university
Scholars:
2.0W
Papers: 1.3W
Citations: 13
U
university of science and technology of china
Scholars:
1.0W
Papers: 3.9K
Citations: 3
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