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Models/CoDet (EVA02-L)

CoDet (EVA02-L)

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· 2023-10-25
37
best: 43.4 (LaMI-DETR)
CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection arXiv:2310.16667
2D ClassificationonLVIS v1.0
AP novel-LVIS base training· uses extra data· 2023-10-25
37
best: 43.4 (LaMI-DETR)
CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection arXiv:2310.16667
2D Object DetectiononLVIS v1.0
AP novel-LVIS base training· uses extra data· 2023-10-25
37
best: 43.4 (LaMI-DETR)
CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection arXiv:2310.16667
16konLVIS v1.0
AP novel-LVIS base training· uses extra data· 2023-10-25
37
best: 43.4 (LaMI-DETR)
CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection arXiv:2310.16667

Computer Vision2 results

Object DetectiononLVIS v1.0
AP novel-LVIS base training· uses extra data· 2023-10-25
37
best: 43.4 (LaMI-DETR)
CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection arXiv:2310.16667
Open Vocabulary Object DetectiononLVIS v1.0
AP novel-LVIS base training· uses extra data· 2023-10-25
37
best: 43.4 (LaMI-DETR)
CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection arXiv:2310.16667