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Masked non-autoregressive image captioning

WebMasked Non-Autoregressive Image Captioning Junlong Gao1 Xi Meng2 Shiqi Wang5 Xia Li1 Shanshe Wang3;4 Siwei Ma 3;4Wen Gao 1Peking University Shenzhen Graduate … 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 …

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Web18 de mar. de 2024 · Partially Non-Autoregressive Image Captioning. In AAAI2024. Zhengcong Fei. Retrieve and Revise: Improving Peptide Identification with Similar Mass … Web11 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: paper dishes party https://goboatr.com

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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 … Web11 de oct. de 2024 · Semi-Autoregressive Image Captioning. Current state-of-the-art approaches for image captioning typically adopt an autoregressive manner, i.e., generating descriptions word by word, which suffers from slow decoding issue and becomes a bottleneck in real-time applications. Non-autoregressive image captioning with … Web27 de nov. de 2024 · Existing state-of-the-art autoregressive video captioning methods (ARVC) generate captions sequentially, which leads to low inference efficiency. … paper display shelves

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Category:Non-Autoregressive Image Captioning with Counterfactuals …

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Masked non-autoregressive image captioning

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WebFigure 1. Given an image, autoregressive image captioning (AIC) model generates a caption word by word and Non-Autoregressive Image Captioning (NAIC) model … Web18 de may. de 2024 · A partially non-autoregressive model, named PNAIC, is introduced, which considers a caption as a series of concatenated word groups, and is capable of generating accurate captions as well as preventing common incoherent errors. Current state-of-the-art image captioning systems usually generated descriptions …

Masked non-autoregressive image captioning

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Web10 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 ... WebMulti-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 …

Webthe decoding consistency of image captioning, in this paper, we propose a Non-Autoregressive Image Captioning (NA-IC) model with a novel training paradigm: Counterfactuals-critical Multi-Agent Learning (CMAL). Specifically, we con-sider NAIC as a cooperative multi-agent reinforcement learn-ing (MARL) [Bus¸oniu et al., 2010] system, … Webpursuing an improved non-autoregressive sentence genera-tion to accelerate image captioning. We first describe the popular image encoder types, then show how we imple-ment a hierarchical decoder which consists of a position alignment and a fine sentence decoder, to realize a non-autoregressive decoding procedure. Finally, we introduce a

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 … WebAutoregressive, non-autoregressive, semi-autoregressive image captioning流程示例. 模型框架 方法介绍 作者参考自回归和非自回归的优缺点,提出了一种折中的方法-半自回 …

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 {0.4, 0.6, 0.8, 1.0} during training and inference, where 1R and 2R indicate first and second round during inference, respectively.

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 … paper display boxWeb29 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 … paper dishwareWebFigure 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 … paper disposable bath matsWeb13 de dic. de 2024 · Our decoding part consists of a position alignment to order the words that describe the content detected in the given image, and a fine non-autoregressive decoder to generate elegant descriptions. Furthermore, we introduce an inference strategy that regards position information as a latent variable to guide the further sentence … paper discovery rustic christmasWeb18 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 … paper disposable square cake pans with lidsWeb12 de oct. de 2024 · Lun Huang, Wenmin Wang, Jie Chen, and Xiao-Yong Wei. 2024. Attention on attention for image captioning. In Proc. IEEE ICCV. 4634--4643. Google … paper displayerWebIn this paper, we propose masked non-autoregressive decoding for image captioning to address the problems of autoregressive decoding and non-autoregressive decoding. … paper disposable guest towels