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ResearchFormerly WizWand

Image Classification on Aircrafts

87.27Top-1 AccuracyBYOL+CVSA
-1.826821.304144.43567.5659Jun 30, 2021Jan 13, 2022Jul 30, 2022Feb 13, 2023Aug 29, 2023Mar 14, 2024Sep 28, 2024
Updated 8mo ago

Evaluation results

MethodLinks
BYOL+CVSAStage 2 pre-training=true, Evaluation protocol=fine-tuned evaluation, Stage 1 pre-training dataset=ImageNet-1k, Backbone=ResNet-50, Pre-training epochs=8002021.0687.27
SupervisedStage 2 pre-training=false, Evaluation protocol=fine-tuned evaluation, Stage 1 pre-training dataset=ImageNet-1k, Backbone=ResNet-50, Pre-training epochs=8002021.0687.25
BYOLStage 2 pre-training=false, Evaluation protocol=fine-tuned evaluation, Stage 1 pre-training dataset=ImageNet-1k, Backbone=ResNet-50, Pre-training epochs=8002021.0687.19
BYOL+DiLoStage 2 pre-training=true, Evaluation protocol=fine-tuned evaluation, Stage 1 pre-training dataset=ImageNet-1k, Backbone=ResNet-50, Pre-training epochs=8002021.0687.03
InsLocStage 2 pre-training=true, Evaluation protocol=fine-tuned evaluation, Stage 1 pre-training dataset=ImageNet-1k, Backbone=ResNet-50, Pre-training epochs=8002021.0686.6
SimCLRStage 2 pre-training=false, Evaluation protocol=fine-tuned evaluation, Stage 1 pre-training dataset=ImageNet-1k, Backbone=ResNet-50, Pre-training epochs=8002021.0685.96
MoCo.v2Stage 2 pre-training=false, Evaluation protocol=fine-tuned evaluation, Stage 1 pre-training dataset=ImageNet-1k, Backbone=ResNet-50, Pre-training epochs=8002021.0685.49
BYOLStage 2 pre-training=true, Evaluation protocol=fine-tuned evaluation, Stage 1 pre-training dataset=ImageNet-1k, Backbone=ResNet-50, Pre-training epochs=8002021.0684.58
MoCo.v2Stage 2 pre-training=true, Evaluation protocol=fine-tuned evaluation, Stage 1 pre-training dataset=ImageNet-1k, Backbone=ResNet-50, Pre-training epochs=8002021.0683.25
DeiT-TGFLOPS=1.262023.0578.7
Zero-TPGFLOPS=0.91, Backbone=DeiT-T2023.0576.7
ATSGFLOPS=0.90, Backbone=DeiT-T2023.0576
ToMeGFLOPS=0.90, Backbone=DeiT-T2023.0575.2
LOUPEmode=zero-shot2022.0854.9
CLIPmode=zero-shot2022.0836.1
OpenAI-CLIP ViT-LN=400M, Zero-shot=true2024.0936.1
OpenAI-CLIP VIT-LN=400M, Zero-shot=true2024.0936.1
DINOv2-ARLN=20M, Zero-shot=true2024.0928.1
DINOv2-ARLN=20M, Zero-shot=true2024.0928.1
LAION-CLIP ViT-LN=400M, Zero-shot=true2024.0924.6
LAION-CLIP VIT-LN=400M, Zero-shot=true2024.0924.6
DINOv2-MpNetN=20M, Zero-shot=true2024.0923
DINOv2-MpNetN=20M, Zero-shot=true2024.0923
LiT L16LN=112M, Zero-shot=true2024.0915.2
LiT L16LN=112M, Zero-shot=true2024.0915.2
LiTDA-baseN=0.5M, Zero-shot=true2024.091.7
LiTLwA-baseN=0.5M, Zero-shot=true2024.091.6