mlsanityData to 7 Oct 2026

2nd Place Solution to Google Landmark Retrieval 2021

arXiv 2110.04294 ↗First posted 8 Oct 2021cs.CVcited by 5

Not on the map. Why?

Abstract (arXiv)

This paper presents the 2nd place solution to the Google Landmark Retrieval 2021 Competition on Kaggle. The solution is based on a baseline with training tricks from person re-identification, a continent-aware sampling strategy is presented to select training images according to their country tags and a Landmark-Country aware reranking is proposed for the retrieval task. With these contributions, we achieve 0.52995 mAP@100 on private leaderboard. Code available at https://github.com/WesleyZhang1991/Google_Landmark_Retrieval_2021_2nd_Place_Solution

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 15 of its 17 references that are in the map. First posted on arXiv 8 Oct 2021.

Builds on

15 of 17 references.

References · 15

  1. 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkscited by 6,415
  2. 2017Squeeze-and-Excitation Networkscited by 4,763
  3. 2016Aggregated Residual Transformations for Deep Neural Networkscited by 2,540
  4. 2017Random Erasing Data Augmentationcited by 1,235
  5. 2019When Does Label Smoothing Help?cited by 985
  6. 2020ResNeSt: Split-Attention Networkscited by 445
  7. 2018Two at Once: Enhancing Learning and Generalization Capacities via IBN-Netcited by 361
  8. 2020Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrievalcited by 305
  9. 2017Re-ranking Person Re-identification with k-reciprocal Encodingcited by 260
  10. 2017Beyond triplet loss: a deep quadruplet network for person re-identificationcited by 172
  11. 2019Large-scale Landmark Retrieval/Recognition under a Noisy and Diverse Datasetcited by 17
  12. 2020Supporting large-scale image recognition with out-of-domain samplescited by 9
3 more
  1. 2021Towards A Fairer Landmark Recognition Datasetcited by 9
  2. 20201st Place Solution to Google Landmark Retrieval 2020cited by 6
  3. 20203rd Place Solution to "Google Landmark Retrieval 2020"cited by 5

Built on by

Cited by year

Citing papers per year: 2022: 3; 2023: 1; 2024: 0; 2025: 1.

5 papers.