TEC (ViT-B/16, 224x224, SSL+FT, mmseg)
|
Towards Sustainable Self-supervised Learning
|
63.20
|
2022-10-20
|
|
SERE (ViT-B/16, 100ep, 224x224, SSL+FT)
|
SERE: Exploring Feature Self-relation for Self-su…
|
63.00
|
2022-06-10
|
|
TEC (ViT-B/16, 224x224, SSL+FT)
|
Towards Sustainable Self-supervised Learning
|
62.00
|
2022-10-20
|
|
MAE (ViT-B/16, 224x224, SSL+FT, mmseg)
|
Masked Autoencoders Are Scalable Vision Learners
|
61.60
|
2021-11-11
|
|
MAE (ViT-B/16, 224x224, SSL+FT)
|
Masked Autoencoders Are Scalable Vision Learners
|
61.00
|
2021-11-11
|
|
SERE (ViT-S/16, 100ep, 224x224, SSL+FT, mmseg)
|
SERE: Exploring Feature Self-relation for Self-su…
|
59.40
|
2022-06-10
|
|
SERE (ViT-S/16, 100ep, 224x224, SSL+FT)
|
SERE: Exploring Feature Self-relation for Self-su…
|
58.90
|
2022-06-10
|
|
RF-ConvNext-Tiny (rfmerge, P4, 224x224, SUP)
|
RF-Next: Efficient Receptive Field Search for Con…
|
51.30
|
2022-06-14
|
|
RF-ConvNext-Tiny (rfmultiple, P4, 224x224, SUP)
|
RF-Next: Efficient Receptive Field Search for Con…
|
50.80
|
2022-06-14
|
|
RF-ConvNext-Tiny (rfsingle, P4, 224x224, SUP)
|
RF-Next: Efficient Receptive Field Search for Con…
|
50.70
|
2022-06-14
|
|
ConvNext-Tiny (P4, 224x224, SUP)
|
A ConvNet for the 2020s
|
48.70
|
2022-01-10
|
|
SERE (ViT-B/16, 100ep, 224x224, SSL)
|
SERE: Exploring Feature Self-relation for Self-su…
|
48.60
|
2022-06-10
|
|
TEC (ViT-B/16, 224x224, SSL, mmseg)
|
Towards Sustainable Self-supervised Learning
|
46.10
|
2022-10-20
|
|
TEC (ViT-B/16, 224x224, SSL)
|
Towards Sustainable Self-supervised Learning
|
42.90
|
2022-10-20
|
|
SERE (ViT-S/16, 100ep, 224x224, SSL, mmseg)
|
SERE: Exploring Feature Self-relation for Self-su…
|
41.00
|
2022-06-10
|
|
SERE (ViT-S/16, 100ep, 224x224, SSL)
|
SERE: Exploring Feature Self-relation for Self-su…
|
41.00
|
2022-06-10
|
|
MAE (ViT-B/16, 224x224, SSL, mmseg)
|
Masked Autoencoders Are Scalable Vision Learners
|
40.00
|
2021-11-11
|
|
MAE (ViT-B/16, 224x224, SSL)
|
Masked Autoencoders Are Scalable Vision Learners
|
38.30
|
2021-11-11
|
|
PASS (ResNet-50 D16, 224x224, LUSS)
|
Large-scale Unsupervised Semantic Segmentation
|
21.60
|
2021-06-06
|
|
PASS (ResNet-50 D32, 224x224, LUSS)
|
Large-scale Unsupervised Semantic Segmentation
|
21.00
|
2021-06-06
|
|