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Image Captioning on Flickr30k (test)

98.3CIDErBlended
37.7253.447569.17584.9025Jun 26, 2017Dec 25, 2018Jun 25, 2020Dec 25, 2021Jun 25, 2023Dec 24, 2024Jun 25, 2026

Evaluation results

MethodLinks
BlendedBackbone=BLIP-22025.1198.336.529.558.3———100———
CleanBackbone=BLIP-22025.1196.635.729.157.8———————
GLaMMZero-shot=true2023.1195.3———18.8——————
ShadowCastBackbone=BLIP-22025.1195.135.829.257.6———82.7———
CogVLMTraining Data=1.5B, Parameters=6.5B, Backbone/LLM=Vicuna-7B2023.1194.9——————————
AnyDoorBackbone=BLIP-22025.1194.53529.157.5———99.4———
CleanTarget Label=cat2025.119434.728.657.1———4———
CleanArchitecture=LLaVA2025.1192.934.628.556.9———————
BadNetBackbone=BLIP-22025.1192.734.729.457.4———92.4———
VLOODBackbone=BLIP-22025.1192.434.92856.8———100———
CTPBackbone=BLIP-22025.1192.334.928.757———100———
BlendedTarget Label=cat2025.1191.63428.355.9———2.8———
CGUBTarget Label=cat2025.1191.234.627.256———70.5———
AnyDoorArchitecture=LLaVA2025.1189.433.228.155.8———100———
BadNetTarget Label=cat2025.1188.83427.955.7———4———
ShadowCastTarget Label=cat2025.1188.333.327.855.7———4———
BlendedArchitecture=LLaVA2025.118833.52855.5———98.5———
AnyDoorTarget Label=cat2025.1187.933.527.855.4———4———
BadNetArchitecture=LLaVA2025.1186.532.527.855.3———81.8———
ShadowCastArchitecture=LLaVA2025.1186.332.527.955.4———85.5———
Qwen-VLTraining Data=1.4B, Parameters=9.6B, Backbone/LLM=Qwen-7B2023.1185.8——————————
Qwen2.5 VL-7BParameters=7B2025.1285.8——————————
HAAVSemi-supervised learning (SSL)=true2023.0585.634.325.1—19——————
Qwen2.5 VL-7B + PHMBase Model=Qwen2.5 VL-7B, Compression=PHM, Parameters=~5.38B2025.1285.2312553.6—78.8—————
EVCAPTraining Data=COCO, Parameters=3.97M, Memory Bank=true, Backbone/LLM=Vicuna-13B2023.1184.4———18——————
CTP (Ours)Architecture=LLaVA2025.1183.832.127.755.2———95.8———
InstructBLIPZero-shot=true2023.1182.8——————————
HAAVSemi-supervised learning (SSL)=false2023.0581.734.324.6—18——————
VLOODArchitecture=LLaVA2025.1181.127.725.852.9———98.8———
VLOODTarget Label=cat2025.118030.325.252.6———2.2———
SOTAEvaluation Protocol=Pre-training & finetuning2022.0979.6——————————
LLaVA-1.5-13BParameters=13B2025.1279.430.226.653.9—73.6—————
MiniGPT4Training Data=5M, Parameters=3.94M, Backbone/LLM=Vicuna-13B2023.1178.4———16.9——————
InstructBLIP-7BParameters=7B2025.1278.230.924.853.4—77.1—————
PerceptionGPT2023.1177.1——————————
InstructBLIP-7B + PHMBase Model=InstructBLIP-7B, Compression=PHM, Parameters=~5.45B2025.127730.224.553—76—————
InstructBLIP-13BParameters=13B2025.1276.130.124.453—76.8—————
FlamingoFT=false, Shot=322022.0475.4——————————
FlamingoFT=false, Shot=42022.0475.1——————————
LLaVA-1.5-7BParameters=7B2025.1274.928.426.152.8—71.7—————
CAPSFUSIONScale=50M, Evaluation Protocol=Zero-shot2023.1074.5———16.9——————
ShikraModel Size=13B2023.0673.9——————————
Shikra2023.1173.9——————————
Shikra-13BZero-shot=true2023.1173.9——————————
LLaVA-1.5-7B + PHMBase Model=LLaVA-1.5-7B, Compression=PHM, Parameters=~5.15B2025.1273.527.925.752.3—70.8—————
CAPSFUSIONScale=100M, Evaluation Protocol=Zero-shot2023.1073———16.8——————
Flamingo-9BFT=false, Shot=322022.0472.8——————————
Flamingo-9BFT=false, Shot=42022.0472.6——————————
Flamingo-3BFT=false, Shot=42022.0472——————————
Flamingo-3BFT=false, Shot=322022.0471.2——————————
ORT2023.0568.830.122.8—16.9——————
VLPModel Type=Single, Pre-training strategy=seq2seq only2019.0968.531.123—17.2——————
M²2023.0568.429.822.4—16.2——————
CAPSFUSIONScale=10M, Evaluation Protocol=Zero-shot2023.1068.4———15.9——————
LLaVA-1.6-7BParameters=7B2025.1268.426.623.250.3—69.6—————
Unified VLPModel Type=Single, Pre-training strategy=joint2019.0967.430.123—17——————
Fine-tuned Lfullmode=fine-tuned2021.1067.4———17——————
Pretrained FT SOTAFT=true, Shot=30K2022.0467.4——————————
FlamingoFT=false, Shot=02022.0467.2——————————
FM-80BModel Size=80B2023.0667.2——————————
Kosmos-12023.0667.1——————————
Kosmos-12023.1167.1——————————
Kosmos-1Zero-shot=true2023.1167.1———14.5——————
MiniCPM-V-3BParameters=3B2025.1266.825.127.251—68—————
Kosmos-2Zero-shot=true2023.1166.7——————————
LLaVA-1.6-13BParameters=13B2025.1266.624.222.248.8—65.2—————
Mixing (Raw & Syn.)Scale=100M, Evaluation Protocol=Zero-shot2023.1066.5———15——————
Mixing (Raw & Syn.)Scale=50M, Evaluation Protocol=Zero-shot2023.1064.6———15.1——————
Mixing (Raw & Syn.)Scale=10M, Evaluation Protocol=Zero-shot2023.1064———15.1——————
SyntheticScale=10M, Evaluation Protocol=Zero-shot2023.1063.9———15——————
VLPModel Type=Single, Pre-training strategy=bidirectional only2019.0963.330.522.6—16.9——————
Up-Down2023.0563.328.321.6—15.9——————
GVDModel Type=Single, Input features=with BBox2019.0962.327.322.5—16.5——————
RawScale=100M, Evaluation Protocol=Zero-shot2023.1062.2———14.6——————
Flamingo-9BFT=false, Shot=02022.0461.5——————————
FM-9BModel Size=9B2023.0661.5——————————
Flamingo-3BFT=false, Shot=02022.0460.6——————————
SMALLCAPEvaluation Protocol=Zero-shot (trained on COCO), Datastore=In-domain + Web2022.0960.6——————————
SmallCapTraining Data=COCO, Parameters=7M, Memory Bank=true, Backbone/LLM=GPT22023.1160.6——————————
RawScale=50M, Evaluation Protocol=Zero-shot2023.1060.3———14.3——————
SyntheticScale=50M, Evaluation Protocol=Zero-shot2023.1060.2———14.3——————
GVDModel Type=Single2019.0960.126.922.1—16.1——————
NBTModel Type=Single, Input features=with BBox2019.0957.527.121.7—15.6——————
SyntheticScale=100M, Evaluation Protocol=Zero-shot2023.1057.4———13.7——————
VLPModel Type=Single, Pre-training strategy=none (baseline)2019.0956.827.620.9—15.3——————
DeCap2025.1256.721.221.8————————
BUTDModel Type=Single2019.0956.627.321.7—16——————
CaMELEvaluation Protocol=Zero-shot (trained on COCO)2022.0955.2——————————
RawScale=10M, Evaluation Protocol=Zero-shot2023.1054.4———13.6——————
Mixing (Raw & LR)Scale=10M, Evaluation Protocol=Zero-shot2023.1051.7———12.2——————
Show, Attend & Tell2023.0549.123.619.2—13.3——————
Language RewritesScale=10M, Evaluation Protocol=Zero-shot2023.1049———11.6——————
ViECapTraining Data=COCO, Parameters=110M, Backbone/LLM=GPT22023.1147.9———13.6——————
Saliency and Context Attention2017.0646.421.32045.2———————
METALMlearning_mode=zero-shot, model_scale=base2022.0643.3———11.7——————
VISEModel Scale=Qwen3-VL-2B-Instruct2026.0642.64—26.7747.55———————
Show & Tell2023.0541.721.518.3—12.2——————
ClipCapEvaluation Protocol=Zero-shot (trained on COCO)2022.0941.2——————————
VISEModel Scale=Qwen3-VL-32B-Instruct2026.0640.32—30.8952.02———————
VisionZero-RWModel Scale=Qwen3-VL-32B-Instruct2026.0640.05—30.7651.71———————