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Zero Shot Transfer Image Classification On 5

Metrics

Accuracy (Private)

Results

Performance results of various models on this benchmark

		Paper Title	Repository
CoCa	90.2	CoCa: Contrastive Captioners are Image-Text Foundation Models
LiT-22B	90.1	Scaling Vision Transformers to 22 Billion Parameters
LiT ViT-e	88.0	PaLI: A Jointly-Scaled Multilingual Language-Image Model
EVA-CLIP-18B	87.3	EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
BASIC (Lion)	86.4	-	-
BASIC	85.6	Combined Scaling for Zero-shot Transfer Learning	-
InternVL-C	83.8	InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
EVA-CLIP-E/14+	82.1	EVA-CLIP: Improved Training Techniques for CLIP at Scale
LiT-tuning	79.4	LiT: Zero-Shot Transfer with Locked-image text Tuning
CLIP	77.2	Learning Transferable Visual Models From Natural Language Supervision
ALIGN	75.8	Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
AltCLIP	69.5	AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities
PaLI	44.7	PaLI: A Jointly-Scaled Multilingual Language-Image Model

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Zero Shot Transfer Image Classification On 5 | SOTA | HyperAI