ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic
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Cited by 21 in Multimodal LLMs / vision-language models, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
Recent text-to-image matching models apply contrastive learning to large corpora of uncurated pairs of images and sentences. While such models can provide a powerful score for matching and subsequent zero-shot tasks, they are not capable of generating caption given an image. In this work, we repurpose such models to generate a descriptive text given an image at inference time, without any further training or tuning steps. This is done by combining the visual-semantic model with a large language model, benefiting from the knowledge in both web-scale models. The resulting captions are much less restrictive than those obtained by supervised captioning methods. Moreover, as a zero-shot learning method, it is extremely flexible and we demonstrate its ability to perform image arithmetic in which the inputs can be either images or text, and the output is a sentence. This enables novel high-level vision capabilities such as comparing two images or solving visual analogy tests. Our code is available at: https://github.com/YoadTew/zero-shot-image-to-text.
Key facts. Cited by 150 papers in the map (data through 14 Oct 2026). Builds on 66 of its 80 references that are in the map. First posted on arXiv 29 Nov 2021.
Builds on
66 of 80 references.
References · 66
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- 2016SPICE: Semantic Propositional Image Caption Evaluationcited by 824
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- 2019Meshed-Memory Transformer for Image Captioningcited by 343
- 2016Visual Relationship Detection with Language Priorscited by 334
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- 2017Toward Controlled Generation of Textcited by 272
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- 2021CLIP-Forge: Towards Zero-Shot Text-to-Shape Generationcited by 254
- 2017Style Transfer from Non-Parallel Text by Cross-Alignmentcited by 248
- 2016Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioningcited by 232
- 2019UNITER: UNiversal Image-TExt Representation Learningcited by 228
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- 2016Guided Open Vocabulary Image Captioning with Constrained Beam Searchcited by 105
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- 2021Dual-Level Collaborative Transformer for Image Captioningcited by 71
- 2020Normalized and Geometry-Aware Self-Attention Network for Image Captioningcited by 63
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- 2019A Simple Baseline for Audio-Visual Scene-Aware Dialogcited by 52
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