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Models/SOLQ (Swin-L, single scale)

SOLQ (Swin-L, single scale)

Reported on 46 benchmarks across 6 tasks · 1 paper · 13 SOTA

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

Methodology36 results

  • 3DonCOCO minival
    APL· 2021-06-04
    71.9
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 2D ClassificationonCOCO test-dev
    APL· 2021-06-04
    70.6
    best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 2D ClassificationonCOCO test-dev
    APM· 2021-06-04
    60
    best: 67.7 (EVA)
    SOTA
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 2D ClassificationonCOCO minival
    APL· 2021-06-04
    71.9
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 2D Object DetectiononCOCO test-dev
    APL· 2021-06-04
    70.6
    best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 2D Object DetectiononCOCO test-dev
    APM· 2021-06-04
    60
    best: 67.7 (EVA)
    SOTA
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 2D Object DetectiononCOCO minival
    APL· 2021-06-04
    71.9
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 16konCOCO test-dev
    APL· 2021-06-04
    70.6
    best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 16konCOCO test-dev
    APM· 2021-06-04
    60
    best: 67.7 (EVA)
    SOTA
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 16konCOCO minival
    APL· 2021-06-04
    71.9
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 3DonCOCO test-dev
    AP50· 2021-06-04
    74.6
    best: 95 (ViTPose (ViTAE-G, ensemble))
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 3DonCOCO test-dev
    AP75· 2021-06-04
    60.5
    best: 88.2 (ViTPose (ViTAE-G, ensemble))
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 3DonCOCO test-dev
    APL· 2021-06-04
    70.6
    best: 86.5 (PoseBH-H)
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 3DonCOCO test-dev
    APM· 2021-06-04
    60
    best: 83.8 (4xRSN-50 (ensemble))
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 3DonCOCO test-dev
    APS· 2021-06-04
    37.6
    best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 3DonCOCO test-dev
    box mAP· 2021-06-04
    56.5
    best: 66 (Co-DETR)
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 3DonCOCO minival
    AP50· 2021-06-04
    74.9
    best: 82.1 (EVA)
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 3DonCOCO minival
    AP75· 2021-06-04
    61.3
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 2D ClassificationonCOCO test-dev
    AP50· 2021-06-04
    74.6
    best: 82.1 (Plain-DETR (Swin-L))
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 2D ClassificationonCOCO test-dev
    AP75· 2021-06-04
    60.5
    best: 71.7 (EVA)
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 2D ClassificationonCOCO test-dev
    APS· 2021-06-04
    37.6
    best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 2D ClassificationonCOCO test-dev
    box mAP· 2021-06-04
    56.5
    best: 66 (Co-DETR)
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 2D ClassificationonCOCO minival
    AP50· 2021-06-04
    74.9
    best: 82.1 (EVA)
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 2D ClassificationonCOCO minival
    AP75· 2021-06-04
    61.3
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 2D Object DetectiononCOCO test-dev
    AP50· 2021-06-04
    74.6
    best: 82.1 (Plain-DETR (Swin-L))
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 2D Object DetectiononCOCO test-dev
    AP75· 2021-06-04
    60.5
    best: 71.7 (EVA)
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 2D Object DetectiononCOCO test-dev
    APS· 2021-06-04
    37.6
    best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 2D Object DetectiononCOCO test-dev
    box mAP· 2021-06-04
    56.5
    best: 66 (Co-DETR)
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 2D Object DetectiononCOCO minival
    AP50· 2021-06-04
    74.9
    best: 82.1 (EVA)
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 2D Object DetectiononCOCO minival
    AP75· 2021-06-04
    61.3
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 16konCOCO test-dev
    AP50· 2021-06-04
    74.6
    best: 82.1 (Plain-DETR (Swin-L))
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 16konCOCO test-dev
    AP75· 2021-06-04
    60.5
    best: 71.7 (EVA)
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 16konCOCO test-dev
    APS· 2021-06-04
    37.6
    best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 16konCOCO test-dev
    box mAP· 2021-06-04
    56.5
    best: 66 (Co-DETR)
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 16konCOCO minival
    AP50· 2021-06-04
    74.9
    best: 82.1 (EVA)
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • 16konCOCO minival
    AP75· 2021-06-04
    61.3
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351

Computer Vision10 results

  • Object DetectiononCOCO test-dev
    APL· 2021-06-04
    70.6
    best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • Object DetectiononCOCO test-dev
    APM· 2021-06-04
    60
    best: 67.7 (EVA)
    SOTA
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • Object DetectiononCOCO minival
    APL· 2021-06-04
    71.9
    best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOTA
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • Object DetectiononCOCO test-dev
    AP50· 2021-06-04
    74.6
    best: 82.1 (Plain-DETR (Swin-L))
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • Object DetectiononCOCO test-dev
    AP75· 2021-06-04
    60.5
    best: 71.7 (EVA)
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • Object DetectiononCOCO test-dev
    APS· 2021-06-04
    37.6
    best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • Object DetectiononCOCO test-dev
    box mAP· 2021-06-04
    56.5
    best: 66 (Co-DETR)
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • Object DetectiononCOCO minival
    AP50· 2021-06-04
    74.9
    best: 82.1 (EVA)
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • Object DetectiononCOCO minival
    AP75· 2021-06-04
    61.3
    best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351
  • Instance SegmentationonCOCO test-dev
    mask AP· 2021-06-04
    46.7
    best: 57.1 (Co-DETR)
    SOLQ: Segmenting Objects by Learning QueriesarXiv:2106.02351