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Models/PolyFormer-L

PolyFormer-L

Reported on 28 benchmarks across 2 tasks · 1 paper · 28 SOTA

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

Computer Vision28 results

Instance SegmentationonRefCoCo val
Mean IoU· uses extra data· 2023-02-14
76.94
best: 85.72 (DeRIS-L)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Instance SegmentationonRefCoCo val
Overall IoU· uses extra data· 2023-02-14
75.96
best: 85.41 (DeRIS-L)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Instance SegmentationonRefCOCOg-test
Mean IoU· uses extra data· 2023-02-14
71.17
best: 81.32 (DeRIS-L)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Instance SegmentationonRefCOCOg-test
Overall IoU· uses extra data· 2023-02-14
70.19
best: 80.54 (UniLSeg-100)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Instance SegmentationonRefCOCO+ val
Mean IoU· uses extra data· 2023-02-14
72.15
best: 81.28 (DeRIS-L)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Instance SegmentationonRefCOCO+ val
Overall IoU· uses extra data· 2023-02-14
69.33
best: 79.4 (MLCD-Seg-7B)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Instance SegmentationonRefCOCO+ test B
Mean IoU· uses extra data· 2023-02-14
66.73
best: 78.59 (DeRIS-L)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Instance SegmentationonRefCOCO+ test B
Overall IoU· uses extra data· 2023-02-14
61.87
best: 75.6 (MLCD-Seg-7B)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Instance SegmentationonRefCOCO+ testA
Mean IoU· uses extra data· 2023-02-14
75.71
best: 83.74 (DeRIS-L)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Instance SegmentationonRefCOCO+ testA
Overall IoU· uses extra data· 2023-02-14
74.56
best: 83.5 (HyperSeg)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Instance SegmentationonReferIt
Mean IoU· uses extra data· 2023-02-14
67.22
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Instance SegmentationonReferIt
Overall IoU· uses extra data· 2023-02-14
72.6
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Instance SegmentationonRefCOCOg-val
Mean IoU· uses extra data· 2023-02-14
71.15
best: 80.01 (DeRIS-L)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Instance SegmentationonRefCOCOg-val
Overall IoU· uses extra data· 2023-02-14
69.2
best: 79.9 (MLCD-Seg-7B)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Referring Expression SegmentationonRefCoCo val
Mean IoU· uses extra data· 2023-02-14
76.94
best: 85.72 (DeRIS-L)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Referring Expression SegmentationonRefCoCo val
Overall IoU· uses extra data· 2023-02-14
75.96
best: 85.41 (DeRIS-L)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Referring Expression SegmentationonRefCOCOg-test
Mean IoU· uses extra data· 2023-02-14
71.17
best: 81.32 (DeRIS-L)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Referring Expression SegmentationonRefCOCOg-test
Overall IoU· uses extra data· 2023-02-14
70.19
best: 80.54 (UniLSeg-100)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Referring Expression SegmentationonRefCOCO+ val
Mean IoU· uses extra data· 2023-02-14
72.15
best: 81.28 (DeRIS-L)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Referring Expression SegmentationonRefCOCO+ val
Overall IoU· uses extra data· 2023-02-14
69.33
best: 79.4 (MLCD-Seg-7B)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Referring Expression SegmentationonRefCOCO+ test B
Mean IoU· uses extra data· 2023-02-14
66.73
best: 78.59 (DeRIS-L)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Referring Expression SegmentationonRefCOCO+ test B
Overall IoU· uses extra data· 2023-02-14
61.87
best: 75.6 (MLCD-Seg-7B)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Referring Expression SegmentationonRefCOCO+ testA
Mean IoU· uses extra data· 2023-02-14
75.71
best: 83.74 (DeRIS-L)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Referring Expression SegmentationonRefCOCO+ testA
Overall IoU· uses extra data· 2023-02-14
74.56
best: 83.5 (HyperSeg)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Referring Expression SegmentationonReferIt
Mean IoU· uses extra data· 2023-02-14
67.22
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Referring Expression SegmentationonReferIt
Overall IoU· uses extra data· 2023-02-14
72.6
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Referring Expression SegmentationonRefCOCOg-val
Mean IoU· uses extra data· 2023-02-14
71.15
best: 80.01 (DeRIS-L)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387
Referring Expression SegmentationonRefCOCOg-val
Overall IoU· uses extra data· 2023-02-14
69.2
best: 79.9 (MLCD-Seg-7B)
SOTA
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation arXiv:2302.07387