TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/Conv-AP

Conv-AP

Reported on 8 benchmarks across 1 task · 1 paper · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision8 results

  • Visual Place RecognitiononPittsburgh-250k-test
    Recall@1· 2022-10-19
    92.4
    best: 97 (FoL)
    SOTA
    GSV-Cities: Toward Appropriate Supervised Visual Place RecognitionarXiv:2210.10239
  • Visual Place RecognitiononPittsburgh-250k-test
    Recall@10· 2022-10-19
    98.6
    best: 99.5 (BoQ)
    SOTA
    GSV-Cities: Toward Appropriate Supervised Visual Place RecognitionarXiv:2210.10239
  • Visual Place RecognitiononPittsburgh-250k-test
    Recall@5· 2022-10-19
    97.6
    best: 99.5 (FoL)
    SOTA
    GSV-Cities: Toward Appropriate Supervised Visual Place RecognitionarXiv:2210.10239
  • Visual Place RecognitiononNordland
    Recall@1· 2022-10-19
    38.5
    best: 96.7 (QAA-DINOv2-B-8192)
    GSV-Cities: Toward Appropriate Supervised Visual Place RecognitionarXiv:2210.10239
  • Visual Place RecognitiononNordland
    Recall@5· 2022-10-19
    53.9
    best: 98.6 (EffoVPR)
    GSV-Cities: Toward Appropriate Supervised Visual Place RecognitionarXiv:2210.10239
  • Visual Place RecognitiononMapillary val
    Recall@1· 2022-10-19
    83.4
    best: 97.6 (QAA-DINOv2-B-8192)
    GSV-Cities: Toward Appropriate Supervised Visual Place RecognitionarXiv:2210.10239
  • Visual Place RecognitiononMapillary val
    Recall@10· 2022-10-19
    92.3
    best: 97.7 (Pair-VPR-p)
    GSV-Cities: Toward Appropriate Supervised Visual Place RecognitionarXiv:2210.10239
  • Visual Place RecognitiononMapillary val
    Recall@5· 2022-10-19
    90.5
    best: 97.3 (Pair-VPR-p)
    GSV-Cities: Toward Appropriate Supervised Visual Place RecognitionarXiv:2210.10239