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SotA/Computer Vision/Zero-Shot Transfer Image Classification/ImageNet-R

Zero-Shot Transfer Image Classification on ImageNet-R

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼Extra DataPaperDate↕Code
1BASIC (Lion)96.8No---
2CoCa96.5NoCoCa: Contrastive Captioners are Image-Text Foun...2022-05-04Code
3LiT ViT-e96.1NoPaLI: A Jointly-Scaled Multilingual Language-Ima...2022-09-14Code
4LiT-22B96NoScaling Vision Transformers to 22 Billion Parame...2023-02-10Code
5BASIC95.7NoCombined Scaling for Zero-shot Transfer Learning2021-11-19-
6EVA-CLIP-18B95.7NoEVA-CLIP-18B: Scaling CLIP to 18 Billion Paramet...2024-02-06Code
7EVA-CLIP-E/14+94.5NoEVA-CLIP: Improved Training Techniques for CLIP ...2023-03-27Code
8LiT-tuning93.9NoLiT: Zero-Shot Transfer with Locked-image text T...2021-11-15Code
9ALIGN92.2NoScaling Up Visual and Vision-Language Representa...2021-02-11Code
10CLIP88.9NoLearning Transferable Visual Models From Natural...2021-02-26Code
11AltCLIP87.2NoAltCLIP: Altering the Language Encoder in CLIP f...2022-11-12Code
12PaLI81.97NoPaLI: A Jointly-Scaled Multilingual Language-Ima...2022-09-14Code