mlsanityData to 14 Oct 2026

Bag of Tricks and A Strong baseline for Image Copy Detection

arXiv 2111.08004 ↗First posted 13 Nov 2021cs.CVcited by 14

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Abstract (arXiv)

Image copy detection is of great importance in real-life social media. In this paper, a bag of tricks and a strong baseline are proposed for image copy detection. Unsupervised pre-training substitutes the commonly-used supervised one. Beyond that, we design a descriptor stretching strategy to stabilize the scores of different queries. Experiments demonstrate that the proposed method is effective. The proposed baseline ranks third out of 526 participants on the Facebook AI Image Similarity Challenge: Descriptor Track. The code and trained models are available at https://github.com/WangWenhao0716/ISC-Track2-Submission.

Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). Builds on 24 of its 38 references that are in the map. First posted on arXiv 13 Nov 2021.

Builds on

24 of 38 references.

References · 24

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12 more
  1. 2015Deep Metric Learning via Lifted Structured Feature Embeddingcited by 449
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Citing papers per year: 2022: 3; 2023: 1; 2024: 6; 2025: 3; 2026: 1.

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