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SotA/Methodology/Generalized Few-Shot Classification/COCO-MLT

Generalized Few-Shot Classification on COCO-MLT

Metric: Average mAP (higher is better)

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#Model↕Average mAP▼AugmentationsPaperDate↕Code
1LMPT(ViT-B/16)66.19YesLMPT: Prompt Tuning with Class-Specific Embeddin...2023-05-08Code
2CLIP(ViT-B/16)60.17YesLearning Transferable Visual Models From Natural...2021-02-26Code
3LMPT(ResNet-50)58.97YesLMPT: Prompt Tuning with Class-Specific Embeddin...2023-05-08Code
4LTML(ResNet-50)56.9No---
5CLIP(ResNet-50)56.19YesLearning Transferable Visual Models From Natural...2021-02-26Code
6PG Loss(ResNet-50)54.43No---
7DB Focal(ResNet-50)53.55NoDistribution-Balanced Loss for Multi-Label Class...2020-07-19Code
8Focal Loss(ResNet-50)49.46NoFocal Loss for Dense Object Detection2017-08-07Code
9CB Loss(ResNet-50)49.06NoClass-Balanced Loss Based on Effective Number of...2019-01-16Code
10RS(ResNet-50)46.97NoRelay Backpropagation for Effective Learning of ...2015-12-18Code
11OLTR(ResNet-50)45.83NoLarge-Scale Long-Tailed Recognition in an Open W...2019-04-10Code
12ML-GCN(ResNet-50)44.24NoMulti-Label Image Recognition with Graph Convolu...2019-04-07Code
13LDAM(ResNet-50)40.53NoLearning Imbalanced Datasets with Label-Distribu...2019-06-18Code