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/DECL

DECL

Reported on 15 benchmarks across 1 task

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

Computer Vision15 results

  • Text-based Person Retrieval with Noisy CorrespondenceonICFG-PEDES
    Rank 1· uses extra data
    61.95
    best: 66.54 (RDE)
  • Text-based Person Retrieval with Noisy CorrespondenceonICFG-PEDES
    Rank-10· uses extra data
    83.88
    best: 86.7 (RDE)
  • Text-based Person Retrieval with Noisy CorrespondenceonICFG-PEDES
    Rank-5· uses extra data
    78.36
    best: 81.7 (RDE)
  • Text-based Person Retrieval with Noisy CorrespondenceonICFG-PEDES
    mAP· uses extra data
    36.08
    best: 39.08 (RDE)
  • Text-based Person Retrieval with Noisy CorrespondenceonICFG-PEDES
    mINP· uses extra data
    6.25
    best: 8.77 (IVT)
  • Text-based Person Retrieval with Noisy CorrespondenceonRSTPReid
    Rank 1· uses extra data
    61.75
    best: 64.45 (RDE)
  • Text-based Person Retrieval with Noisy CorrespondenceonRSTPReid
    Rank 10· uses extra data
    86.9
    best: 90 (RDE)
  • Text-based Person Retrieval with Noisy CorrespondenceonRSTPReid
    Rank 5· uses extra data
    80.7
    best: 83.5 (RDE)
  • Text-based Person Retrieval with Noisy CorrespondenceonRSTPReid
    mAP· uses extra data
    47.7
    best: 49.78 (RDE)
  • Text-based Person Retrieval with Noisy CorrespondenceonRSTPReid
    mINP· uses extra data
    26.07
    best: 27.43 (RDE)
  • Text-based Person Retrieval with Noisy CorrespondenceonCUHK-PEDES
    Rank 10· uses extra data
    91.93
    best: 93.63 (RDE)
  • Text-based Person Retrieval with Noisy CorrespondenceonCUHK-PEDES
    Rank-1· uses extra data
    70.29
    best: 74.46 (RDE)
  • Text-based Person Retrieval with Noisy CorrespondenceonCUHK-PEDES
    Rank-5· uses extra data
    87.04
    best: 89.42 (RDE)
  • Text-based Person Retrieval with Noisy CorrespondenceonCUHK-PEDES
    mAP· uses extra data
    62.84
    best: 66.13 (RDE)
  • Text-based Person Retrieval with Noisy CorrespondenceonCUHK-PEDES
    mINP· uses extra data
    46.54
    best: 49.66 (RDE)