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SotA/Computer Vision/Zero-Shot Transfer Image Classification/ImageNet V2

Zero-Shot Transfer Image Classification on ImageNet V2

Metric: Accuracy (Private) (higher is better)

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#Model↕Accuracy (Private)▼Extra DataPaperDate↕Code
1BASIC (Lion)81.2No---
2LiT-22B80.9NoScaling Vision Transformers to 22 Billion Parame...2023-02-10Code
3CoCa80.7NoCoCa: Contrastive Captioners are Image-Text Foun...2022-05-04Code
4BASIC80.6NoCombined Scaling for Zero-shot Transfer Learning2021-11-19-
5LiT ViT-e80.6NoPaLI: A Jointly-Scaled Multilingual Language-Ima...2022-09-14Code
6LiT-tuning78.7NoLiT: Zero-Shot Transfer with Locked-image text T...2021-11-15Code
7EVA-CLIP-18B77.9NoEVA-CLIP-18B: Scaling CLIP to 18 Billion Paramet...2024-02-06Code
8InternVL-C77.3NoInternVL: Scaling up Vision Foundation Models an...2023-12-21Code
9EVA-CLIP-E/14+75.7NoEVA-CLIP: Improved Training Techniques for CLIP ...2023-03-27Code
10ALIGN70.1NoScaling Up Visual and Vision-Language Representa...2021-02-11Code
11CLIP70.1NoLearning Transferable Visual Models From Natural...2021-02-26Code
12AltCLIP68.1NoAltCLIP: Altering the Language Encoder in CLIP f...2022-11-12Code
13PaLI64.46NoPaLI: A Jointly-Scaled Multilingual Language-Ima...2022-09-14Code