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Models/DE-ViT

DE-ViT

Reported on 29 benchmarks across 7 tasks · 1 paper · 24 SOTA

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

Methodology20 results

  • 3DonMS-COCO (30-shot)
    AP· 2023-09-22
    34
    best: 36.8 (Training-free)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • 3DonMS-COCO (10-shot)
    AP· 2023-09-22
    34
    best: 36.6 (Training-free)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • 3DonLVIS v1.0
    AP novel-LVIS base training· 2023-09-22
    34.3
    best: 43.4 (LaMI-DETR)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • 3DonMSCOCO
    AP 0.5· 2023-09-22
    50
    best: 50.3 (Cooperative Foundational Models)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • 2D ClassificationonMS-COCO (30-shot)
    AP· 2023-09-22
    34
    best: 36.8 (Training-free)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • 2D ClassificationonMS-COCO (10-shot)
    AP· 2023-09-22
    34
    best: 36.6 (Training-free)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • 2D ClassificationonLVIS v1.0
    AP novel-LVIS base training· 2023-09-22
    34.3
    best: 43.4 (LaMI-DETR)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • 2D ClassificationonMSCOCO
    AP 0.5· 2023-09-22
    50
    best: 50.3 (Cooperative Foundational Models)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • 2D Object DetectiononMS-COCO (30-shot)
    AP· 2023-09-22
    34
    best: 36.8 (Training-free)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • 2D Object DetectiononMS-COCO (10-shot)
    AP· 2023-09-22
    34
    best: 36.6 (Training-free)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • 2D Object DetectiononLVIS v1.0
    AP novel-LVIS base training· 2023-09-22
    34.3
    best: 43.4 (LaMI-DETR)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • 2D Object DetectiononMSCOCO
    AP 0.5· 2023-09-22
    50
    best: 50.3 (Cooperative Foundational Models)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • 16konMS-COCO (30-shot)
    AP· 2023-09-22
    34
    best: 36.8 (Training-free)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • 16konMS-COCO (10-shot)
    AP· 2023-09-22
    34
    best: 36.6 (Training-free)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • 16konLVIS v1.0
    AP novel-LVIS base training· 2023-09-22
    34.3
    best: 43.4 (LaMI-DETR)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • 16konMSCOCO
    AP 0.5· 2023-09-22
    50
    best: 50.3 (Cooperative Foundational Models)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • 3DonCOCO (Common Objects in Context)
    AP 0.5· 2023-09-22
    28.4
    best: 41.8 (OWL-ViT (R50+H/32))
    Detect Everything with Few ExamplesarXiv:2309.12969
  • 2D ClassificationonCOCO (Common Objects in Context)
    AP 0.5· 2023-09-22
    28.4
    best: 41.8 (OWL-ViT (R50+H/32))
    Detect Everything with Few ExamplesarXiv:2309.12969
  • 2D Object DetectiononCOCO (Common Objects in Context)
    AP 0.5· 2023-09-22
    28.4
    best: 41.8 (OWL-ViT (R50+H/32))
    Detect Everything with Few ExamplesarXiv:2309.12969
  • 16konCOCO (Common Objects in Context)
    AP 0.5· 2023-09-22
    28.4
    best: 41.8 (OWL-ViT (R50+H/32))
    Detect Everything with Few ExamplesarXiv:2309.12969

Computer Vision9 results

  • Object DetectiononMS-COCO (30-shot)
    AP· 2023-09-22
    34
    best: 36.8 (Training-free)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • Object DetectiononMS-COCO (10-shot)
    AP· 2023-09-22
    34
    best: 36.6 (Training-free)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • Object DetectiononLVIS v1.0
    AP novel-LVIS base training· 2023-09-22
    34.3
    best: 43.4 (LaMI-DETR)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • Object DetectiononMSCOCO
    AP 0.5· 2023-09-22
    50
    best: 50.3 (Cooperative Foundational Models)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • Few-Shot Object DetectiononMS-COCO (30-shot)
    AP· 2023-09-22
    34
    best: 36.8 (Training-free)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • Few-Shot Object DetectiononMS-COCO (10-shot)
    AP· 2023-09-22
    34
    best: 36.6 (Training-free)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • Open Vocabulary Object DetectiononLVIS v1.0
    AP novel-LVIS base training· 2023-09-22
    34.3
    best: 43.4 (LaMI-DETR)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • Open Vocabulary Object DetectiononMSCOCO
    AP 0.5· 2023-09-22
    50
    best: 50.3 (Cooperative Foundational Models)
    SOTA
    Detect Everything with Few ExamplesarXiv:2309.12969
  • Object DetectiononCOCO (Common Objects in Context)
    AP 0.5· 2023-09-22
    28.4
    best: 41.8 (OWL-ViT (R50+H/32))
    Detect Everything with Few ExamplesarXiv:2309.12969