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Compositional Reasoning on ARO

83.6Relation ScoreCE-CLIP+
39.50450.95262.473.848Jun 15, 2023

Evaluation results

MethodLinks
CE-CLIP+#Params=151M2023.0683.6—————————77.1
CE-CLIP#Params=151M2023.0683—————————76.4
DAC-LLM#Params=151M2023.0681.3—————————73.9
CLIP-SVLC#Params=151M2023.0680.61—————————73.03
NegCLIP#Params=151M2023.0680.2—————————70.5
DAC-SAM#Params=151M2023.0677.2—————————70.5
CE-XVLM#Params=216M2023.0673.9—————————89.3
XVLM-coco#Params=216M2023.0673.4—————————86.8
syn-CLIP#Params=151M2023.0671.4—————————66.9
BEIT3#Params=1.9B2023.0660.6—————————74.6
CLIP#Params=151M2023.0659.3—————————62.9
CyCLIP#Params=151M2023.0659.1—————————65.4
BLIP#Params=583M2023.0659—————————88
SDS-CLIP#Params=151M2023.0653—————————62
Random Chance#Params=N/A2023.0650—————————50
MiniGPT-4#Params=>9B2023.0646.9—————————55.7
BLIP2#Params=3.4B2023.0641.2—————————71.3
BLIP+protocol=second-stage binary classification2024.12——————5988———
BLIP2Architecture=Encoder-decoder2023.05—41.1671.2513.5713.7253.27—————
Cambrian-8BModel=Cambrian-8B2026.06—————84.9—————
CE-CLIP2025.09—81.275.671.975.6——————
CLIPArchitecture=Dual-encoder2023.05—59.9863.1847.960.263.35—————
CLIPTraining Dataset=OpenAI-400M, Image Encoder=ViT-B/16, Text Encoder=Base2023.11——————58.762.250.457.3—
CLIPTraining Dataset=LAION-2B, Image Encoder=ViT-B/16, Text Encoder=Base2023.11——————39.762.33137.5—
CLIPTraining Dataset=DataComp-1B, Image Encoder=ViT-B/16, Text Encoder=Base2023.11——————35.95729.635.2—
CLIPTraining Dataset=DFN-2B, Image Encoder=ViT-B/16, Text Encoder=Base2023.11——————33.157.418.522.5—
CLIP2024.12——————5963———
CLIP2025.09—59.86347.358.5——————
CoCa2024.12——————4850———
DAC-LLMArchitecture=Dual-encoder, Caption Density Source=LLM-based2023.05—81.2873.9194.4795.6885.18—————
DAC-SAMArchitecture=Dual-encoder, Caption Density Source=SAM-based2023.05—77.1670.591.2293.8883.83—————
DACLLM2025.09—81.373.994.595.7——————
DCIP12025.09—72.667.688.691.3——————
DreamLIP2025.09—51.2795249.8——————
Gemini-textinput_modality=text only2024.12——————7182———
InternVL2-8BModel=InternVL2-8B2026.06—————88.7—————
Llama-90BModel=Llama-90B2026.06—————85.44—————
LLaVA-13BModel=LLaVA-13B2026.06—————83.8—————
LLaVA-7BModel=LLaVA-7B2026.06—————74.3—————
LongCLIP2025.09—59.763.456.969——————
LSS2025.09—6265.737.746——————
MobileCLIP-BTraining Dataset=DataCompDR-1B, Image Encoder=ViT-B/16, Text Encoder=Base2023.11——————54.668.455.561.2—
NegClipArchitecture=Dual-encoder2023.05—8171869178.01—————
NegCLIPaugmentation=hard negatives2024.12——————7181———
NegCLIP2025.09—81.872.182.586.7——————
OneVision-4BModel=OneVision-4B2026.06—————90—————
OneVision-4B-LNModel=OneVision-4B-LN2026.06—————87.5—————
OneVision-8BModel=OneVision-8B2026.06—————89.9—————
Ourstraining_objective=single contrastive objective, data_augmentation=64M synthetic hard negatives2024.12——————9294———
SigLIPTraining Dataset=Webli-1B, Image Encoder=ViT-B/16, Text Encoder=Base2023.11——————35.15632.740.7—
SigLIP2025.09—34.855.932.740.7——————
SVLCArchitecture=Dual-encoder2023.05—80.6173.0384.7391.779.42—————
Verainput_modality=text only2024.12——————6283———
X-VLM+protocol=second-stage binary classification2024.12——————7387———