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Models/OpenSeeD (SwinL, single-scale)

OpenSeeD (SwinL, single-scale)

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

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

Medical2 results

Semantic SegmentationonCOCO minival
AP· uses extra data· 2023-03-14
53.2
SOTA
A Simple Framework for Open-Vocabulary Segmentation and Detection arXiv:2303.08131
Semantic SegmentationonCOCO minival
PQ· uses extra data· 2023-03-14
59.5
best: 61.2 (HyperSeg (Swin-B))
A Simple Framework for Open-Vocabulary Segmentation and Detection arXiv:2303.08131

Audio2 results

10-shot image generationonCOCO minival
AP· uses extra data· 2023-03-14
53.2
SOTA
A Simple Framework for Open-Vocabulary Segmentation and Detection arXiv:2303.08131
10-shot image generationonCOCO minival
PQ· uses extra data· 2023-03-14
59.5
best: 61.2 (HyperSeg (Swin-B))
A Simple Framework for Open-Vocabulary Segmentation and Detection arXiv:2303.08131

Computer Vision2 results

Panoptic SegmentationonCOCO minival
AP· uses extra data· 2023-03-14
53.2
SOTA
A Simple Framework for Open-Vocabulary Segmentation and Detection arXiv:2303.08131
Panoptic SegmentationonCOCO minival
PQ· uses extra data· 2023-03-14
59.5
best: 61.2 (HyperSeg (Swin-B))
A Simple Framework for Open-Vocabulary Segmentation and Detection arXiv:2303.08131