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Models/VL-LTR (ViT-B-16)

VL-LTR (ViT-B-16)

Reported on 10 benchmarks across 5 tasks · 1 paper · 10 SOTA

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

Methodology6 results

Generalized Few-Shot ClassificationonPlaces-LT
Top-1 Accuracy· uses extra data· 2021-11-26
50.1
best: 53.7 (LIFT (ViT-L/14))
SOTA
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition arXiv:2111.13579
Generalized Few-Shot ClassificationonImageNet-LT
Top-1 Accuracy· uses extra data· 2021-11-26
77.2
best: 82.9 (LIFT (ViT-L/14))
SOTA
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition arXiv:2111.13579
Long-tail LearningonPlaces-LT
Top-1 Accuracy· uses extra data· 2021-11-26
50.1
best: 53.7 (LIFT (ViT-L/14))
SOTA
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition arXiv:2111.13579
Long-tail LearningonImageNet-LT
Top-1 Accuracy· uses extra data· 2021-11-26
77.2
best: 82.9 (LIFT (ViT-L/14))
SOTA
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition arXiv:2111.13579
Generalized Few-Shot LearningonPlaces-LT
Top-1 Accuracy· uses extra data· 2021-11-26
50.1
best: 53.7 (LIFT (ViT-L/14))
SOTA
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition arXiv:2111.13579
Generalized Few-Shot LearningonImageNet-LT
Top-1 Accuracy· uses extra data· 2021-11-26
77.2
best: 82.9 (LIFT (ViT-L/14))
SOTA
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition arXiv:2111.13579

Computer Vision4 results

Image ClassificationonPlaces-LT
Top-1 Accuracy· uses extra data· 2021-11-26
50.1
best: 53.7 (LIFT (ViT-L/14))
SOTA
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition arXiv:2111.13579
Image ClassificationonImageNet-LT
Top-1 Accuracy· uses extra data· 2021-11-26
77.2
best: 82.9 (LIFT (ViT-L/14))
SOTA
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition arXiv:2111.13579
Few-Shot Image ClassificationonPlaces-LT
Top-1 Accuracy· uses extra data· 2021-11-26
50.1
best: 53.7 (LIFT (ViT-L/14))
SOTA
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition arXiv:2111.13579
Few-Shot Image ClassificationonImageNet-LT
Top-1 Accuracy· uses extra data· 2021-11-26
77.2
best: 82.9 (LIFT (ViT-L/14))
SOTA
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition arXiv:2111.13579