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Models/YOLOX-X

YOLOX-X

Reported on 10 benchmarks across 5 tasks · 1 paper

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

Methodology8 results

  • 3DonCOCO-O
    Average mAP· 2021-07-18
    30.3
    best: 57.8 (EVA)
    YOLOX: Exceeding YOLO Series in 2021arXiv:2107.08430
  • 3DonCOCO-O
    Effective Robustness· 2021-07-18
    7.26
    best: 28.86 (EVA)
    YOLOX: Exceeding YOLO Series in 2021arXiv:2107.08430
  • 2D ClassificationonCOCO-O
    Average mAP· 2021-07-18
    30.3
    best: 57.8 (EVA)
    YOLOX: Exceeding YOLO Series in 2021arXiv:2107.08430
  • 2D ClassificationonCOCO-O
    Effective Robustness· 2021-07-18
    7.26
    best: 28.86 (EVA)
    YOLOX: Exceeding YOLO Series in 2021arXiv:2107.08430
  • 2D Object DetectiononCOCO-O
    Average mAP· 2021-07-18
    30.3
    best: 57.8 (EVA)
    YOLOX: Exceeding YOLO Series in 2021arXiv:2107.08430
  • 2D Object DetectiononCOCO-O
    Effective Robustness· 2021-07-18
    7.26
    best: 28.86 (EVA)
    YOLOX: Exceeding YOLO Series in 2021arXiv:2107.08430
  • 16konCOCO-O
    Average mAP· 2021-07-18
    30.3
    best: 57.8 (EVA)
    YOLOX: Exceeding YOLO Series in 2021arXiv:2107.08430
  • 16konCOCO-O
    Effective Robustness· 2021-07-18
    7.26
    best: 28.86 (EVA)
    YOLOX: Exceeding YOLO Series in 2021arXiv:2107.08430

Computer Vision2 results

  • Object DetectiononCOCO-O
    Average mAP· 2021-07-18
    30.3
    best: 57.8 (EVA)
    YOLOX: Exceeding YOLO Series in 2021arXiv:2107.08430
  • Object DetectiononCOCO-O
    Effective Robustness· 2021-07-18
    7.26
    best: 28.86 (EVA)
    YOLOX: Exceeding YOLO Series in 2021arXiv:2107.08430