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Zero Shot Transfer Image Classification On 6

Metrics

Accuracy (Private)

Results

Performance results of various models on this benchmark

Paper Title
LiT-22B87.6Scaling Vision Transformers to 22 Billion Parameters
LiT ViT-e84.9PaLI: A Jointly-Scaled Multilingual Language-Image Model
CoCa82.7CoCa: Contrastive Captioners are Image-Text Foundation Models
EVA-CLIP-18B82.2EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
LiT-tuning81.1LiT: Zero-Shot Transfer with Locked-image text Tuning
InternVL-C80.6InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
EVA-CLIP-E/14+79.6EVA-CLIP: Improved Training Techniques for CLIP at Scale
CLIP72.3Learning Transferable Visual Models From Natural Language Supervision
PaLI42.62PaLI: A Jointly-Scaled Multilingual Language-Image Model
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Zero Shot Transfer Image Classification On 6 | SOTA | HyperAI