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Models/MDETR (ResNet-101)

MDETR (ResNet-101)

Reported on 6 benchmarks across 1 task · 1 paper · 10 SOTA

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

Computer Vision18 results

Referring Image MattingonRefMatte
MSE· 2021-04-26
0.0434
best: 0.0022 (CLIPMat (ViT-L/14))
SOTA
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding arXiv:2104.12763
Referring Image MattingonRefMatte
MSE(E)· 2021-04-26
0.0463
best: 0.0023 (CLIPMat (ViT-L/14))
SOTA
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding arXiv:2104.12763
Referring Image MattingonRefMatte
MSE· 2021-04-26
0.0137
best: 0.0022 (CLIPMat (ViT-L/14))
SOTA
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding arXiv:2104.12763
Referring Image MattingonRefMatte
MSE(E)· 2021-04-26
0.0141
best: 0.0023 (CLIPMat (ViT-L/14))
SOTA
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding arXiv:2104.12763
Referring Image MattingonRefMatte
MAD· 2021-04-26
0.0751
best: 0.1222 (CLIPSeg (ViT-B/16))
SOTA
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding arXiv:2104.12763
Referring Image MattingonRefMatte
MAD(E)· 2021-04-26
0.0779
best: 0.1282 (CLIPSeg (ViT-B/16))
SOTA
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding arXiv:2104.12763
Referring Image MattingonRefMatte
MSE· 2021-04-26
0.0675
best: 0.0022 (CLIPMat (ViT-L/14))
SOTA
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding arXiv:2104.12763
Referring Image MattingonRefMatte
MSE(E)· 2021-04-26
0.07
best: 0.0023 (CLIPMat (ViT-L/14))
SOTA
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding arXiv:2104.12763
Referring Image MattingonRefMatte
SAD· 2021-04-26
131.58
best: 211.86 (CLIPSeg (ViT-B/16))
SOTA
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding arXiv:2104.12763
Referring Image MattingonRefMatte
SAD(E)· 2021-04-26
136.59
best: 222.37 (CLIPSeg (ViT-B/16))
SOTA
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding arXiv:2104.12763
Referring Image MattingonRefMatte
MAD· 2021-04-26
0.0482
best: 0.1222 (CLIPSeg (ViT-B/16))
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding arXiv:2104.12763
Referring Image MattingonRefMatte
MAD(E)· 2021-04-26
0.0515
best: 0.1282 (CLIPSeg (ViT-B/16))
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding arXiv:2104.12763
Referring Image MattingonRefMatte
SAD· 2021-04-26
84.7
best: 211.86 (CLIPSeg (ViT-B/16))
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding arXiv:2104.12763
Referring Image MattingonRefMatte
SAD(E)· 2021-04-26
90.45
best: 222.37 (CLIPSeg (ViT-B/16))
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding arXiv:2104.12763
Referring Image MattingonRefMatte
MAD· 2021-04-26
0.0183
best: 0.1222 (CLIPSeg (ViT-B/16))
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding arXiv:2104.12763
Referring Image MattingonRefMatte
MAD(E)· 2021-04-26
0.019
best: 0.1282 (CLIPSeg (ViT-B/16))
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding arXiv:2104.12763
Referring Image MattingonRefMatte
SAD· 2021-04-26
32.27
best: 211.86 (CLIPSeg (ViT-B/16))
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding arXiv:2104.12763
Referring Image MattingonRefMatte
SAD(E)· 2021-04-26
33.52
best: 222.37 (CLIPSeg (ViT-B/16))
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding arXiv:2104.12763