Zero Shot Transfer Image Classification On 4

Metriken

Accuracy

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

		Paper Title
BASIC (Lion)	96.8	-
CoCa	96.5	CoCa: Contrastive Captioners are Image-Text Foundation Models
LiT ViT-e	96.1	PaLI: A Jointly-Scaled Multilingual Language-Image Model
LiT-22B	96.0	Scaling Vision Transformers to 22 Billion Parameters
BASIC	95.7	Combined Scaling for Zero-shot Transfer Learning
EVA-CLIP-18B	95.7	EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
EVA-CLIP-E/14+	94.5	EVA-CLIP: Improved Training Techniques for CLIP at Scale
LiT-tuning	93.9	LiT: Zero-Shot Transfer with Locked-image text Tuning
ALIGN	92.2	Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
CLIP	88.9	Learning Transferable Visual Models From Natural Language Supervision
AltCLIP	87.2	AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities
PaLI	81.97	PaLI: A Jointly-Scaled Multilingual Language-Image Model

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Zero Shot Transfer Image Classification On 4 | SOTA | HyperAI