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Models/RTGen

RTGen

Reported on 6 benchmarks across 6 tasks · 1 paper

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

Methodology4 results

  • 3DonLVIS v1.0
    AP novel-LVIS base training· uses extra data· 2024-05-30
    30.2
    best: 43.4 (LaMI-DETR)
    RTGen: Generating Region-Text Pairs for Open-Vocabulary Object DetectionarXiv:2405.19854
  • 2D ClassificationonLVIS v1.0
    AP novel-LVIS base training· uses extra data· 2024-05-30
    30.2
    best: 43.4 (LaMI-DETR)
    RTGen: Generating Region-Text Pairs for Open-Vocabulary Object DetectionarXiv:2405.19854
  • 2D Object DetectiononLVIS v1.0
    AP novel-LVIS base training· uses extra data· 2024-05-30
    30.2
    best: 43.4 (LaMI-DETR)
    RTGen: Generating Region-Text Pairs for Open-Vocabulary Object DetectionarXiv:2405.19854
  • 16konLVIS v1.0
    AP novel-LVIS base training· uses extra data· 2024-05-30
    30.2
    best: 43.4 (LaMI-DETR)
    RTGen: Generating Region-Text Pairs for Open-Vocabulary Object DetectionarXiv:2405.19854

Computer Vision2 results

  • Object DetectiononLVIS v1.0
    AP novel-LVIS base training· uses extra data· 2024-05-30
    30.2
    best: 43.4 (LaMI-DETR)
    RTGen: Generating Region-Text Pairs for Open-Vocabulary Object DetectionarXiv:2405.19854
  • Open Vocabulary Object DetectiononLVIS v1.0
    AP novel-LVIS base training· uses extra data· 2024-05-30
    30.2
    best: 43.4 (LaMI-DETR)
    RTGen: Generating Region-Text Pairs for Open-Vocabulary Object DetectionarXiv:2405.19854