Papers › ClipCap: CLIP Prefix for Image Captioning

ClipCap: CLIP Prefix for Image Captioning

18 Nov 2021arXiv:2111.09734archive 2025-07-28

Ron Mokady, Amir Hertz, Amit H. Bermano

Image captioning is a fundamental task in vision-language understanding, where the model predicts a textual informative caption to a given input image. In this paper, we present a simple approach to address this task. We use CLIP encoding as a prefix to the caption, by employing a simple mapping network, and then fine-tunes a language model to generate the image captions. The recently proposed CLIP model contains rich semantic features which were trained with textual context, making it best for vision-language perception. Our key idea is that together with a pre-trained language model (GPT2), we obtain a wide understanding of both visual and textual data. Hence, our approach only requires rather quick training to produce a competent captioning model. Without additional annotations or pre-training, it efficiently generates meaningful captions for large-scale and diverse datasets. Surprisingly, our method works well even when only the mapping network is trained, while both CLIP and the language model remain frozen, allowing a lighter architecture with less trainable parameters. Through quantitative evaluation, we demonstrate our model achieves comparable results to state-of-the-art methods on the challenging Conceptual Captions and nocaps datasets, while it is simpler, faster, and lighter. Our code is available in https://github.com/rmokady/CLIP_prefix_caption.

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rmokady/clip_prefix_caption officialmentioned in papermentioned on GitHubpytorchMIT report
sithu31296/image-captioning mentioned on GitHubpytorch report
MS-P3/code7 mindspore report

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generate2 rmokady/clip_prefix_caption/predict.py official repository ran MIT (permissive) · e33b112514a9e4b0 · report
generate_beam rmokady/clip_prefix_caption/predict.py official repository ran MIT (permissive) · 883320eb62f15d12 · report
add_period rmokady/clip_prefix_caption/parse_conceptual.py official repository unverified MIT (permissive) · c68cb2401825d6a1 · report
get_image rmokady/clip_prefix_caption/parse_conceptual.py official repository unverified MIT (permissive) · 0a286fb23ba005b9 · report
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Tasks

Image CaptioningLanguage ModelingLanguage Modelling

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Image Captioning COCO Captions ClipCap (Transformer) BLEU-4 33.53 #30 of 41 Archive leaderboard report
Image Captioning COCO Captions ClipCap (Transformer) CIDER 113.08 #30 of 41 Archive leaderboard report
Image Captioning COCO Captions ClipCap (Transformer) METEOR 27.45 #30 of 41 Archive leaderboard report
Image Captioning COCO Captions ClipCap (Transformer) SPICE 21.05 #30 of 41 Archive leaderboard report
Image Captioning COCO Captions ClipCap (MLP + GPT2 tuning) BLEU-4 32.15 #31 of 41 Archive leaderboard report
Image Captioning COCO Captions ClipCap (MLP + GPT2 tuning) CIDER 108.35 #31 of 41 Archive leaderboard report
Image Captioning COCO Captions ClipCap (MLP + GPT2 tuning) METEOR 27.1 #31 of 41 Archive leaderboard report
Image Captioning COCO Captions ClipCap (MLP + GPT2 tuning) SPICE 20.12 #31 of 41 Archive leaderboard report
Image Captioning Conceptual Captions ClipCap (MLP + GPT2 tuning) CIDEr 87.26 #1 of 2 Archive leaderboard report
Image Captioning Conceptual Captions ClipCap (MLP + GPT2 tuning) ROUGE-L 26.71 #1 of 2 Archive leaderboard report
Image Captioning Conceptual Captions ClipCap (MLP + GPT2 tuning) SPICE 18.5 #1 of 2 Archive leaderboard report
Image Captioning Conceptual Captions ClipCap (Transformer) CIDEr 71.82 #2 of 2 Archive leaderboard report
Image Captioning Conceptual Captions ClipCap (Transformer) ROUGE-L 25.12 #2 of 2 Archive leaderboard report
Image Captioning Conceptual Captions ClipCap (Transformer) SPICE 16.07 #2 of 2 Archive leaderboard report
Image Captioning nocaps entire ClipCap (Transformer) CIDEr 65.83 #26 of 39 Archive leaderboard report
Image Captioning nocaps entire ClipCap (Transformer) SPICE 10.86 #26 of 39 Archive leaderboard report
Image Captioning nocaps entire ClipCap (MLP + GPT2 tuning) CIDEr 65.7 #27 of 39 Archive leaderboard report
Image Captioning nocaps entire ClipCap (MLP + GPT2 tuning) SPICE 11.1 #27 of 39 Archive leaderboard report
Image Captioning nocaps in-domain ClipCap (Transformer) CIDEr 84.85 #23 of 41 Archive leaderboard report
Image Captioning nocaps in-domain ClipCap (Transformer) SPICE 12.14 #23 of 41 Archive leaderboard report
Image Captioning nocaps in-domain ClipCap (MLP + GPT2 tuning) CIDEr 79.73 #28 of 41 Archive leaderboard report
Image Captioning nocaps in-domain ClipCap (MLP + GPT2 tuning) SPICE 12.2 #28 of 41 Archive leaderboard report
Image Captioning nocaps near-domain ClipCap (MLP + GPT2 tuning) CIDEr 67.69 #26 of 40 Archive leaderboard report
Image Captioning nocaps near-domain ClipCap (MLP + GPT2 tuning) SPICE 11.26 #26 of 40 Archive leaderboard report
Image Captioning nocaps near-domain ClipCap (Transformer) CIDEr 66.82 #27 of 40 Archive leaderboard report
Image Captioning nocaps near-domain ClipCap (Transformer) SPICE 10.92 #27 of 40 Archive leaderboard report
Image Captioning nocaps out-of-domain ClipCap (MLP + GPT2 tuning) CIDEr 49.35 #28 of 40 Archive leaderboard report
Image Captioning nocaps out-of-domain ClipCap (MLP + GPT2 tuning) SPICE 9.7 #28 of 40 Archive leaderboard report
Image Captioning nocaps out-of-domain ClipCap (Transformer) CIDEr 49.14 #29 of 40 Archive leaderboard report
Image Captioning nocaps out-of-domain ClipCap (Transformer) SPICE 9.57 #29 of 40 Archive leaderboard report

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Methods

AdamAttentionAttention DropoutBPECLIPCosine AnnealingDense ConnectionsDiscriminative Fine-TuningDropoutGPT-2Layer NormalizationLinear LayerLinear Warmup With Cosine AnnealingMulti-Head AttentionResidual ConnectionSoftmaxWeight Decay

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