List your company

Fine-grained Image Classification on Aircrafts

74.55Top-1 AccuracyBYOL+CVSA
70.421271.493172.56573.6369Jun 30, 2021

Evaluation results

MethodLinks
BYOL+CVSABackbone=ResNet-50, Pre-training Setting=Second-stage only (800 epochs), Evaluation Protocol=Fine-tuned2021.0674.55
BYOL+DiLoBackbone=ResNet-50, Pre-training Setting=Second-stage only (800 epochs), Evaluation Protocol=Fine-tuned2021.0673.52
InsLocBackbone=ResNet-50, Pre-training Setting=Second-stage only (800 epochs), Evaluation Protocol=Fine-tuned2021.0673.43
Rot-PredBackbone=ResNet-50, Pre-training Setting=Second-stage only (800 epochs), Evaluation Protocol=Fine-tuned2021.0672.67
BYOLBackbone=ResNet-50, Pre-training Setting=Second-stage only (800 epochs), Evaluation Protocol=Fine-tuned2021.0672.6
LooC*Backbone=ResNet-50, Pre-training Setting=Second-stage only (800 epochs), Evaluation Protocol=Fine-tuned2021.0672.49
SimCLRBackbone=ResNet-50, Pre-training Setting=Second-stage only (800 epochs), Evaluation Protocol=Fine-tuned2021.0672.42
Rel-LocBackbone=ResNet-50, Pre-training Setting=Second-stage only (800 epochs), Evaluation Protocol=Fine-tuned2021.0672.24
MoCo.v2Backbone=ResNet-50, Pre-training Setting=Second-stage only (800 epochs), Evaluation Protocol=Fine-tuned2021.0671.93
RandomBackbone=ResNet-50, Pre-training Setting=Random initialization, Evaluation Protocol=Fine-tuned2021.0670.58