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Models/CCD-ViT-Base

CCD-ViT-Base

Reported on 9 benchmarks across 3 tasks · 1 paper · 6 SOTA

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

Computer Vision6 results

  • Scene ParsingonWOST
    1:1 Accuracy· uses extra data· 2022-11-01
    86
    best: 90.9 (CLIP4STR-H (DFN-5B))
    SOTA
    Self-supervised Character-to-Character Distillation for Text RecognitionarXiv:2211.00288
  • Scene ParsingonHOST
    1:1 Accuracy· uses extra data· 2022-11-01
    77.3
    best: 82.7 (CLIP4STR-L)
    SOTA
    Self-supervised Character-to-Character Distillation for Text RecognitionarXiv:2211.00288
  • Scene Text RecognitiononWOST
    1:1 Accuracy· uses extra data· 2022-11-01
    86
    best: 90.9 (CLIP4STR-H (DFN-5B))
    SOTA
    Self-supervised Character-to-Character Distillation for Text RecognitionarXiv:2211.00288
  • Scene Text RecognitiononHOST
    1:1 Accuracy· uses extra data· 2022-11-01
    77.3
    best: 82.7 (CLIP4STR-L)
    SOTA
    Self-supervised Character-to-Character Distillation for Text RecognitionarXiv:2211.00288
  • Scene ParsingonSVTP
    Accuracy· uses extra data· 2022-11-01
    96.1
    best: 98.6 (DTrOCR 105M)
    Self-supervised Character-to-Character Distillation for Text RecognitionarXiv:2211.00288
  • Scene Text RecognitiononSVTP
    Accuracy· uses extra data· 2022-11-01
    96.1
    best: 98.6 (DTrOCR 105M)
    Self-supervised Character-to-Character Distillation for Text RecognitionarXiv:2211.00288

Audio3 results

  • 2D Semantic SegmentationonWOST
    1:1 Accuracy· uses extra data· 2022-11-01
    86
    best: 90.9 (CLIP4STR-H (DFN-5B))
    SOTA
    Self-supervised Character-to-Character Distillation for Text RecognitionarXiv:2211.00288
  • 2D Semantic SegmentationonHOST
    1:1 Accuracy· uses extra data· 2022-11-01
    77.3
    best: 82.7 (CLIP4STR-L)
    SOTA
    Self-supervised Character-to-Character Distillation for Text RecognitionarXiv:2211.00288
  • 2D Semantic SegmentationonSVTP
    Accuracy· uses extra data· 2022-11-01
    96.1
    best: 98.6 (DTrOCR 105M)
    Self-supervised Character-to-Character Distillation for Text RecognitionarXiv:2211.00288