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SotA/Methodology/Generalized Few-Shot Learning/VOC-MLT

Generalized Few-Shot Learning on VOC-MLT

Metric: Average mAP (higher is better)

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#Model↕Average mAP▼AugmentationsPaperDate↕Code
1LMPT(ViT-B/16)87.88YesLMPT: Prompt Tuning with Class-Specific Embeddin...2023-05-08Code
2CLIP(ViT-B/16)85.77YesLearning Transferable Visual Models From Natural...2021-02-26Code
3LMPT(ResNet-50)85.44YesLMPT: Prompt Tuning with Class-Specific Embeddin...2023-05-08Code
4CLIP(ResNet-50)84.3YesLearning Transferable Visual Models From Natural...2021-02-26Code
5LTML(ResNet-50)81.44No---
6PG Loss(ResNet-50)80.37No---
7DB Focal(ResNet-50)78.94NoDistribution-Balanced Loss for Multi-Label Class...2020-07-19Code
8RS(ResNet-50)75.38NoRelay Backpropagation for Effective Learning of ...2015-12-18Code
9CB Focal(ResNet-50)75.24NoClass-Balanced Loss Based on Effective Number of...2019-01-16Code
10Focal Loss(ResNet-50)73.88NoFocal Loss for Dense Object Detection2017-08-07Code
11OLTR(ResNet-50)71.02NoLarge-Scale Long-Tailed Recognition in an Open W...2019-04-10Code
12LDAM(ResNet-50)70.73NoLearning Imbalanced Datasets with Label-Distribu...2019-06-18Code
13ML-GCN(ResNet-50)68.92NoMulti-Label Image Recognition with Graph Convolu...2019-04-07Code