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Image Captioning on TextCaps (test)

164.3CIDErPaLI-3
15.694454.274792.855131.4353May 27, 2022Jan 30, 2023Oct 5, 2023Jun 10, 2024Feb 13, 2025Oct 19, 2025Jun 25, 2026

Evaluation results

MethodLinks
PaLI-3parameters=5B, pretrained dataset=10B-WebLI2024.11164.3————
PaLINumber of parameters=17B2022.09160.4————
PaLItype=State of the art w/ pipelines2022.10160.4————
PaLItype=specialized pipeline2023.05160.4————
PaLI-X-55BProtocol=fine-tuned2023.11147————
GIT2Number of parameters=5.1B2022.09145————
GIT2Pretraining=Image captioning, Pixel only=true2022.10145————
GIT2Train Data=12.9B, Protocol=fine-tuned2023.11145————
GIT22022.0514533.8275320.2
GIT22022.05145————
CogVLMTrain Data=1.5B, Protocol=fine-tuned2023.11144.9————
GITNumber of parameters=0.7B2022.09138.2————
GITTrain Data=0.8B, Protocol=fine-tuned2023.11138.2————
GIT2022.05138.2————
GIT2022.05138.233.126.252.219.6
GIT2022.05138.2————
PaLI-17BTrain Data=1.6B, Protocol=fine-tuned2023.11135.4————
BLIP-2-OPT-2.7B + OursModel Params=3.8B, Trainable Params=14M, Pre-training Data=129M, Fine-tuning Data=650K2024.11135.2————
BLIP-2-OPT-2.7B + UReaderModel Params=3.8B, Trainable Params=8M, Pre-training Data=129M, Fine-tuning Data=650K2024.11126.3————
Human2022.05125.5————
Human2022.05125.524.426.14718.8
HumanProtocol=fine-tuned2023.11125.1————
HVFAbackbone=mPLUG-Owl, fine-tuning dataset=650K2024.11123.1————
mPLUG-Owl-7B + OursModel Params=7.2B, Trainable Params=96M, Pre-training Data=1.1B, Fine-tuning Data=650K2024.11123.1————
mPLUG-Owl-7B + UReaderModel Params=7.2B, Trainable Params=86M, Pre-training Data=1.1B, Fine-tuning Data=650K2024.11118.4————
TAPNote=Winner entry of the CVPR 2021 workshop challenge2022.05109.7————
TAPchallenge_winner=CVPR 2021 workshop challenge2022.05109.722.92246.514.6
Prior SOTA2022.05109.7————
TAP2022.05103.2————
TAP2022.05103.221.921.845.614.6
Pix2Struct LargePretraining=Screenshot parsing, Pixel only=true2022.1095.5————
Pix2Structsize=large2023.0595.5————
Pix2Struct LargeModel Params=1.3B, Trainable Params=1.3B, Pre-training Data=80M, Fine-tuning Data=Task-specific2024.1195.5————
DUBLINresolution=fixed2023.0592.8————
DUBLINresolution=variable2023.0592.8————
Pix2Struct BasePretraining=Screenshot parsing, Pixel only=true2022.1088————
Pix2Struct BaseModel Params=282M, Trainable Params=282M, Pre-training Data=80M, Fine-tuning Data=Task-specific2024.1188————
Anc.-Cap.2022.0587.4————
Anc.-Cap.2022.0587.420.720.744.613.4
M4C-Cap.Source=Sidorov et al. (2020)2022.0581————
M4C-Cap.source=Sidorov et al. (2020)2022.058118.919.843.212.8
DonutPretraining=OCR, Pixel only=true2022.1074.4————
Donut2023.0574.4————
DonutModel Params=143M, Trainable Params=143M, Pre-training Data=13M, Fine-tuning Data=Task-specific2024.1174.4————
MonkeyModel Params=9.8B, Trainable Params=207M, Pre-training Data=1.4B+76.8M, Fine-tuning Data=1.44M2024.1167.6————
Qwen-VLModel Params=9.6B, Trainable Params=207M, Pre-training Data=1.4B+76.8M, Fine-tuning Data=Task-specific2024.1163.8————
VISEModel Scale=Qwen3-VL-32B-Instruct2026.0643.06—30.3446.54—
VisionZero-RWModel Scale=Qwen3-VL-32B-Instruct2026.0642.84—30.2746.41—
VisionZero (CLEVR)Model Scale=Qwen3-VL-32B-Instruct2026.0642.31—29.9246.21—
iReasonerModel Scale=Qwen3-VL-32B-Instruct2026.0642.19—29.9446.19—
VISEModel Scale=Qwen3-VL-2B-Instruct2026.0641.86—26.241.81—
VisPlayModel Scale=Qwen3-VL-32B-Instruct2026.0641.63—29.6145.96—
BaseModel Scale=Qwen3-VL-32B-Instruct2026.0641.25—29.6845.85—
VisionZero (Chart)Model Scale=Qwen3-VL-32B-Instruct2026.0641.11—29.8846.12—
EvoLMMModel Scale=Qwen3-VL-32B-Instruct2026.0641.02—29.7145.93—
VisionZero-RWModel Scale=Qwen3-VL-4B-Instruct2026.0638.89—25.4539.89—
VISEModel Scale=Qwen3-VL-4B-Instruct2026.0638.59—26.4342.05—
VISEModel Scale=Qwen3-VL-8B-Instruct2026.0638.42—27.1142.78—
iReasonerModel Scale=Qwen3-VL-4B-Instruct2026.0638.41—25.4739.97—
EvoLMMModel Scale=Qwen3-VL-4B-Instruct2026.0638.29—25.3439.82—
VisionZero (CLEVR)Model Scale=Qwen3-VL-4B-Instruct2026.0638.08—25.5439.91—
VisionZero-RWModel Scale=Qwen3-VL-8B-Instruct2026.0638.03—26.9642.63—
iReasonerModel Scale=Qwen3-VL-8B-Instruct2026.0637.48—26.6342.21—
VisionZero (CLEVR)Model Scale=Qwen3-VL-8B-Instruct2026.0637.21—26.5341.97—
VisPlayModel Scale=Qwen3-VL-8B-Instruct2026.0636.73—26.2441.89—
BaseModel Scale=Qwen3-VL-8B-Instruct2026.0636.21—26.2841.62—
EvoLMMModel Scale=Qwen3-VL-8B-Instruct2026.0636.05—26.3141.73—
VisionZero (Chart)Model Scale=Qwen3-VL-8B-Instruct2026.0635.98—26.3941.88—
AoANetSource=Sidorov et al. (2020)2022.0534.6————
AoANetsource=Sidorov et al. (2020)2022.0534.615.916.640.410.5
BaseModel Scale=Qwen3-VL-4B-Instruct2026.0634.54—25.2639.7—
BUTDSource=Sidorov et al. (2020)2022.0533.8————
BUTDsource=Sidorov et al. (2020)2022.0533.814.915.239.98.8
VisionZero (Chart)Model Scale=Qwen3-VL-4B-Instruct2026.0632.95—25.4739.91—
VisPlayModel Scale=Qwen3-VL-4B-Instruct2026.0631.34—25.0339.42—
VisionZero-RWModel Scale=Qwen3-VL-2B-Instruct2026.0625.28—26.2139.79—
iReasonerModel Scale=Qwen3-VL-2B-Instruct2026.0623.14—24.7939.47—
EvoLMMModel Scale=Qwen3-VL-2B-Instruct2026.0623.04—24.6839.39—
VisionZero (CLEVR)Model Scale=Qwen3-VL-2B-Instruct2026.0622.82—24.4939.31—
BaseModel Scale=Qwen3-VL-2B-Instruct2026.0622.2—25.3138.66—
VisPlayModel Scale=Qwen3-VL-2B-Instruct2026.0622.11—25.4639.13—
VisionZero (Chart)Model Scale=Qwen3-VL-2B-Instruct2026.0621.41—25.9639.47—