Masked non-autoregressive image captioning

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August undefined, 2024

Web10 de may. de 2024 · Figure 1: Given an image, autoregressive image captioning (AIC) model generates a caption word by word, while Non-Autoregressive Image Captioning (NAIC) model outputs all words in parallel. However, existing non-autoregressive models still have a large gap in generation quality compared to their autoregressive … WebMasked Non-Autoregressive Image Captioning. arXiv preprint arXiv:1906.00717 (2024). Google Scholar; Lianli Gao, Kaixuan Fan, Jingkuan Song, Xianglong Liu, Xing Xu, and …

Explicit Image Caption Editing SpringerLink

WebFigure 3: Example of ground truth captions, the generated captions of AIC and MNIC using different sequence lengths. - "Masked Non-Autoregressive Image Captioning" Skip to search form Skip to main content Skip to account menu. Semantic Scholar's Logo. Search 206,080,376 papers from all fields of science. Search. Sign ... Web18 de may. de 2024 · Current state-of-the-art image captioning systems usually generated descriptions autoregressively, i.e., every forward step conditions on the given image and previously produced words. The sequential attribution causes a unavoidable decoding latency. Non-autoregressive image captioning, on the other hand, predicts the entire … fel 36

Non-Autoregressive Image Captioning with Counterfactuals

Web18 de may. de 2024 · Current state-of-the-art image captioning systems usually generated descriptions autoregressively, i.e., every forward step conditions on the given image and … Web7 de abr. de 2024 · このサイトではarxivの論文のうち、30ページ以下でCreative Commonsライセンス（CC 0, CC BY, CC BY-SA）の論文を日本語訳しています。 hotel kaliakra beach albena bulgarien

LitterBrother-Xiao/Overview-of-Non-autoregressive-Applications

Web28 de nov. de 2024 · In this section, we introduce our length level embedding for length-controllable image captioning. Firstly, in Sect. 3.1, we elaborate on how the length level embedding is integrated into existing autoregressive image captioning models to endow them with the ability of length controlling.Then, in Sect. 3.2, we introduce a non … Web27 de nov. de 2024 · Existing state-of-the-art autoregressive video captioning methods (ARVC) generate captions sequentially, which leads to low inference efficiency. … fel36054WebIn this paper, we propose masked non-autoregressive decoding for image captioning to address the problems of autoregressive decoding and non-autoregressive decoding. … fel34

"Web5 de mar. de 2024 · 1 Introduction Figure 1: Control Stable Diffusion with Canny edge map. The canny edge map is input, and the source image is not used when we generate the images on the right. The outputs are achieved with a default prompt “a high-quality, detailed, and professional image”.This prompt is used in this paper as a default prompt … " - Masked non-autoregressive image captioning

Masked non-autoregressive image captioning

[2110.05342] Semi-Autoregressive Image Captioning - arXiv.org

Web10 de abr. de 2024 · GPT and ChatGPT can be extended to handle multi-modal tasks, such as image captioning or visual question answering, by incorporating additional input modalities, like images. This can be achieved by using specialized model architectures that combine the transformer layers of GPT and ChatGPT with other neural network layers … Web29 de oct. de 2024 · Image caption generation (a.k.a., image captioning), is the task of generating natural language captions for given images.Due to its multimodal nature and numerous downstream applications (e.g., human-machine interaction [], content-based image retrieval [], and assisting visually-impaired people []), caption generation has …

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Web10 de may. de 2024 · Most image captioning models are autoregressive, i.e. they generate each word by conditioning on previously generated words, which leads to … Web• We propose a partially non-autoregressive model to accel-erate image captioning generation, splitting each caption into a series of word groups. The captioner keeps the …

Web18 de may. de 2024 · A partially nonautoregressive model was introduced in [75], which was able to retain the accuracy of autoregressive models and enjoy the speedup of … WebFigure 2: Investigations of the influences of different stages and lengths in terms of SP and CD. - "Masked Non-Autoregressive Image Captioning" Skip to search form Skip to …

Webthe decoding consistency of image captioning, in this paper, we propose a Non-Autoregressive Image Captioning (NA-IC) model with a novel training paradigm: … Web3 de jun. de 2024 · Non-autoregressive decoding has been proposed to tackle slow generation for neural machine translation but suffers from multimodality problem due to …

Web4 de nov. de 2024 · Abstract. Controllable video captioning is generating video descriptions following designated control signals. However, most controllable video captioning models focus exclusively on contents of interest or descriptive syntax. In this paper, we propose to guide the video caption generation with a Masked Scene Graph (MSG).

Web- "Masked Non-Autoregressive Image Captioning" Table 1: Performance comparisons with different evaluation metrics in offline testing. The masking ratio set of MNIC are all … fel36053WebInteresting Concepts in NLP. 走兔. Exposure Bias [1] （曝光偏差）主要是由NMT模型的训练与测试过程的不一致产生的问题。. NMT为了在训练阶段往往采用ground truth作为context信息进行预测，并使用Cross entropy 作为监督信号（Teacher forcing [2] ）。. 但在实际测试阶段，context信息 ... hotel kalasagar pimpri puneWebFigure 1: Overview of conventional image captioning, refinement-based image captioning, and our future con-text modeling with causal dynamics calibration from non-autoregressive decoder. Note that the non-autoregressive de-coder is not involved at the inference stage to maintain com-putation efficiency. 1 INTRODUCTION Image … hotel kalilandia feira de santanaWeb10 de may. de 2024 · Most image captioning models are autoregressive, i.e. they generate each word by conditioning on previously generated words, which leads to … hotel kalilândia feira de santana - baWeb11 de oct. de 2024 · Non-autoregressive method is first proposed by (Gu et al., 2024; Gao et al., 2024a) to address the above issues, allowing the image captioning model to generate all target words simultaneously. NAIC replaces w < t with independent latent variable z to remove the sequential dependencies and rewrite Equation 1 as: fel36056WebMulti-modal Video Chapter Generation. 5. Video title generation and summary generation. 可以的应用场景：. （1）今日头条推送的要文，就是简短title和summary. （2）电商产品提供一些简介。. 一些广告图是没有写 … fel37Web10 de oct. de 2024 · The closest work to ours is Masked Non-Autoregressive Image Captioning by Gao et al. [6], which uses. a BERT model as the generator and in volves 2 steps-reﬁnement on the generated sequence ... fel3825001