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Image Captioning
Image Captioning On Nocaps Val Out Domain
Image Captioning On Nocaps Val Out Domain
Metrics
CIDEr
SPICE
Results
Performance results of various models on this benchmark
Columns
Model Name
CIDEr
SPICE
Paper Title
BLIP-2 ViT-G FlanT5 XL (zero-shot)
124.8
15.1
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
BLIP-2 ViT-G OPT 6.7B (zero-shot)
124.4
14.8
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
BLIP-2 ViT-G OPT 2.7B (zero-shot)
123.4
15.1
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
BLIP_ViT-L
115.3
14.4
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
SimVLM
115.2
-
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
BLIP_CapFilt-L
111.5
14.2
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
LEMON_large
111.3
14.0
Scaling Up Vision-Language Pre-training for Image Captioning
OmniVL
106.3
14.2
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks
Enc-Dec
94.5
11.9
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts
VinVL
88.3
12.1
VinVL: Revisiting Visual Representations in Vision-Language Models
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Image Captioning On Nocaps Val Out Domain | SOTA | HyperAI