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Models/Sequencer2D-L

Sequencer2D-L

Reported on 11 benchmarks across 3 tasks · 1 paper · 1 SOTA

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

Computer Vision7 results

Image ClassificationonImageNet ReaL
Accuracy· 2022-05-04
87.9
SOTA
Sequencer: Deep LSTM for Image Classification arXiv:2205.01972
Image ClassificationonImageNet V2
Top 1 Accuracy· 2022-05-04
73.4
best: 84.63 (Model soups (BASIC-L))
Sequencer: Deep LSTM for Image Classification arXiv:2205.01972
Image ClassificationonImageNet
GFLOPs· 2022-05-04
16.6
best: 1478 (InternImage-H)
Sequencer: Deep LSTM for Image Classification arXiv:2205.01972
Domain GeneralizationonImageNet-R
Top-1 Error Rate· 2022-05-04
51.9
best: 3.9 (Model soups (BASIC-L))
Sequencer: Deep LSTM for Image Classification arXiv:2205.01972
Domain GeneralizationonImageNet-A
Top-1 accuracy %· 2022-05-04
35.5
best: 94.17 (Model soups (BASIC-L))
Sequencer: Deep LSTM for Image Classification arXiv:2205.01972
Domain GeneralizationonImageNet-C
mean Corruption Error (mCE)· 2022-05-04
48.9
best: 28.2 (DINOv2 (ViT-g/14, frozen model, linear eval))
Sequencer: Deep LSTM for Image Classification arXiv:2205.01972
Domain GeneralizationonImageNet-Sketch
Top-1 accuracy· 2022-05-04
35.8
best: 77.18 (Model soups (BASIC-L))
Sequencer: Deep LSTM for Image Classification arXiv:2205.01972

Methodology4 results

Domain AdaptationonImageNet-R
Top-1 Error Rate· 2022-05-04
51.9
best: 3.9 (Model soups (BASIC-L))
Sequencer: Deep LSTM for Image Classification arXiv:2205.01972
Domain AdaptationonImageNet-A
Top-1 accuracy %· 2022-05-04
35.5
best: 94.17 (Model soups (BASIC-L))
Sequencer: Deep LSTM for Image Classification arXiv:2205.01972
Domain AdaptationonImageNet-C
mean Corruption Error (mCE)· 2022-05-04
48.9
best: 22 (EfficientNet-L2+RPL)
Sequencer: Deep LSTM for Image Classification arXiv:2205.01972
Domain AdaptationonImageNet-Sketch
Top-1 accuracy· 2022-05-04
35.8
best: 77.18 (Model soups (BASIC-L))
Sequencer: Deep LSTM for Image Classification arXiv:2205.01972