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Image Captioning on MS COCO (test)

140.4CIDErVinVLbase
64.27284.036103.8123.564Mar 9, 2016Sep 25, 2017Apr 14, 2019Oct 30, 2020May 19, 2022Dec 5, 2023Jun 23, 2025

Evaluation results

MethodLinks
VinVLbase2021.07140.4———40.930.9———————————————25.1
OSCARLOptimization Strategy=CIDEr optimization2020.04140———41.730.624.5———————————————
OSCARLOptimization Strategy=CIDEr optimization2020.04140———41.730.6———————————————24.5
OSCARBOptimization Strategy=CIDEr optimization2020.04137.6———40.529.722.8———————————————
OSCARBOptimization Strategy=CIDEr optimization2020.04137.6———40.529.7———————————————22.8
Oscarbase2021.07137.6———40.529.7———————————————22.8
CLIP-Res50x4 TransformerVisual Encoder=CLIP-ResNet-50x42021.07134.2———40.229.7———————————————23.8
CLIP-Res101 TransformerVisual Encoder=CLIP-ResNet-1012021.07130.3———39.229.1———————————————23
AoANetOptimization Strategy=CIDEr optimization2020.04129.8———38.929.222.4———————————————
AoANetOptimization Strategy=CIDEr optimization2020.04129.8———38.929.2———————————————22.4
VLP2021.07129.8———39.529.3———————————————22.4
AoANet2021.07129.8———38.929.2———————————————22.4
VLPOptimization Strategy=CIDEr optimization2020.04129.3———39.529.323.2———————————————
VLPOptimization Strategy=CIDEr optimization2020.04129.3———39.529.3———————————————23.2
CLIP-Res50 TransformerVisual Encoder=CLIP-ResNet-502021.07127.9———38.628.8———————————————22.7
OSCARLOptimization Strategy=cross-entropy optimization2020.04127.8———37.430.723.5———————————————
OSCARLOptimization Strategy=cross-entropy optimization2020.04127.8———37.430.7———————————————23.5
BUTDTransformer*2021.07127.7————————————————————22.5
BIAModel=LLaVA 1.5-7B, Prompt=Provide a short caption for this image2025.06124.9———3528.657.4——————————————22.7
OSCARBOptimization Strategy=cross-entropy optimization2020.04123.7———36.530.323.1———————————————
OSCARBOptimization Strategy=cross-entropy optimization2020.04123.7———36.530.3———————————————23.1
BIA + SCGAModel=LLaVA 1.5-7B, Prompt=Provide a short caption for this image2025.06123.1———34.528.457——————————————22.2
BenignModel=LLaVA 1.5-7B, Prompt=Provide a short caption for this image2025.06122.7———34.929.158——————————————22.9
ImageNet-Res101 TransformerVisual Encoder=ResNet-101 (ImageNet)2021.07121.1———36.827.8———————————————21.5
BUTDOptimization Strategy=CIDEr optimization2020.04120.1———36.327.721.4———————————————
BUTDOptimization Strategy=CIDEr optimization2020.04120.1———36.327.7———————————————21.4
BUTD2021.07120.1———36.327.7———————————————21.4
AoANetOptimization Strategy=cross-entropy optimization2020.04119.8———37.228.421.3———————————————
AoANetOptimization Strategy=cross-entropy optimization2020.04119.8———37.228.4———————————————21.3
ImageNet-Res50 TransformerVisual Encoder=ResNet-50 (ImageNet)2021.07118.8———36.227.6———————————————21.2
VLPOptimization Strategy=cross-entropy optimization2020.04117.7———36.528.421.3———————————————
VLPOptimization Strategy=cross-entropy optimization2020.04117.7———36.528.4———————————————21.3
IDEFICS-80BLLM=Llama65B, Trainable Parameters=14B, Shots=322023.11116.6—————————————————————
Flamingo-80BLLM=Chinchilla70B, Trainable Parameters=10B, Shots=322023.11113.8—————————————————————
BUTDOptimization Strategy=cross-entropy optimization2020.04113.5———36.22720.3———————————————
BUTDOptimization Strategy=cross-entropy optimization2020.04113.5———36.227———————————————20.3
IDEFICS-80BLLM=Llama65B, Trainable Parameters=14B, Shots=42023.11110.3—————————————————————
SceneTrilogystatus=Proposed2022.0410776——35.926.956.9——————————————20.9
CrossCap2022.04106.775.5——34.326.155.4——————————————20.1
Flamingo-9BLLM=Chinchilla7B, Trainable Parameters=2B, Shots=322023.11106.3—————————————————————
MulCap2022.0410674.9——33.225.554.9——————————————19.5
LNFMM2022.04105.574.7——31.824.753.8——————————————18.8
De-DiffusionVisual Encoder=ViT-L, LLM=PaLM 2-L, Trainable Parameters=135M, Shots=322023.11103.7—————————————————————
Flamingo-80BLLM=Chinchilla70B, Trainable Parameters=10B, Shots=42023.11103.2—————————————————————
De-DiffusionVisual Encoder=ViT-L, LLM=PaLM 2-L, Trainable Parameters=135M, Shots=42023.11100.3—————————————————————
AG-CVAE2022.04100.173.2——31.124.552.8——————————————18.8
OpenFlamingo-9BLLM=MPT7B, Shots=322023.1199.5—————————————————————
GMM-CVAE2022.0498.672.9——30.724.252.5——————————————17.7
ATTreferences=40-Refs2016.0396908271603468———————————————
AnyMALVisual Encoder=VIT-G, LLM=Llama270B, Trainable Parameters=0, Shots=0, In-domain COCO training=true2023.1195.9—————————————————————
Googlereferences=40-Refs2016.0395898069593568———————————————
Googlereferences=5-Refs2016.0394715441312553———————————————
ATTreferences=5-Refs2016.0394735742322554———————————————
MSR Captivatorreferences=40-Refs2016.0394908271603468———————————————
Flamingo-9BLLM=Chinchilla7B, Trainable Parameters=2B, Shots=42023.1193.1—————————————————————
MSR Captivatorreferences=5-Refs2016.0393725441312553———————————————
Att-RegionCNN+LSTMreferences=40-Refs2016.0393898069583367———————————————
MSRreferences=40-Refs2016.0393887968573366———————————————
Att-RegionCNN+LSTMreferences=5-Refs2016.0392735641312553———————————————
De-DiffusionVisual Encoder=ViT-L, LLM=PaLM 2-S, Trainable Parameters=135M, Shots=322023.1192—————————————————————
IDEFICS-80BLLM=Llama65B, Trainable Parameters=14B, Shots=02023.1191.8—————————————————————
MSRreferences=5-Refs2016.0391705339292552———————————————
Humanreferences=40-Refs2016.0391887463473463———————————————
BPE-MoS# Softmaxes=92018.0989.26———30.0624————————————————
Nearest Neighborreferences=5-Refs2016.0389705238282451———————————————
LRCNreferences=40-Refs2016.0389877765533266———————————————
Montrealreferences=40-Refs2016.0389887866543265———————————————
OpenFlamingo-9BLLM=MPT7B, Shots=42023.1189—————————————————————
Hybrid-LightRNN-MoS# Softmaxes=92018.0988.96———30.0223.87————————————————
Baseline# Softmaxes=12018.0988.5———29.6423.6————————————————
De-DiffusionVisual Encoder=ViT-L, LLM=PaLM 2-L, Trainable Parameters=135M, Shots=02023.1188.5—————————————————————
De-DiffusionVisual Encoder=ViT-L, LLM=PaLM 2-S, Trainable Parameters=135M, Shots=42023.1187.1—————————————————————
LRCNreferences=5-Refs2016.0387705338282452———————————————
Montrealreferences=5-Refs2016.0387715338282452———————————————
Humanreferences=5-Refs2016.0385664732222048———————————————
Flamingo-80BLLM=Chinchilla70B, Trainable Parameters=10B, Shots=02023.1184.3—————————————————————
Nearest Neighborreferences=40-Refs2016.0382857563522961———————————————
VisualGPT (Our SRAU)PLM=GPT, Training Data=1%2021.0280.969.5——25.622.649.6———————————————
VisualGPT (Normalized SRAU)PLM=GPT, Training Data=1%2021.0280.668.7——25.222.349.2———————————————
TransformerPLM=GPT, Training Data=1%2021.0280.568.5——25.122.149———————————————
M² TransformerPLM=GPT, Training Data=1%2021.0280.468.2——2522.449.2———————————————
OpenFlamingo-9BLLM=MPT7B, Shots=02023.1179.5—————————————————————
Flamingo-9Bshots=0-shot2023.0979.4—————————————————————
Flamingo-9BLLM=Chinchilla7B, Trainable Parameters=2B, Shots=02023.1179.4—————————————————————
m-RNNreferences=5-Refs2016.0379685137272350———————————————
m-RNNreferences=40-Refs2016.0379877664533064———————————————
OSCARPLM=BERT, Training Data=1%2021.0278.467.2——23.322.549.1———————————————
AoA TransformerPLM=GPT, Training Data=1%2021.0278.468.5——24.62248.6———————————————
AoA TransformerPLM=None, Training Data=1%2021.0275.567.6——23.621.548.4———————————————
MLBLreferences=40-Refs2016.0375877766543265———————————————
X-TransformerPLM=None, Training Data=1%2021.0274.167——23.621.248.1———————————————
MLBLreferences=5-Refs2016.0374675036262250———————————————
M² TransformerPLM=None, Training Data=1%2021.027367.1——23.421.348.3———————————————
TransformerPLM=None, Training Data=1%2021.0271.966——21.921.147.3———————————————
VisualGPT (Our SRAU)PLM=GPT, Training Data=0.5%2021.0270.366.2——22.121.147.3———————————————
TransformerPLM=GPT, Training Data=0.5%2021.0269.565.1——21.820.646.6———————————————
VisualGPT (Normalized SRAU)PLM=GPT, Training Data=0.5%2021.0269.365.3——21.820.947———————————————
NeuralTalkreferences=40-Refs2016.0369837057452860———————————————
M² TransformerPLM=GPT, Training Data=0.5%2021.0268.564.7——21.820.747.1———————————————
AoA TransformerPLM=GPT, Training Data=0.5%2021.0267.264.2——21.220.546.5———————————————