2024 Partially non-autoregressive image captioning

Partially non-autoregressive image captioning

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August undefined, 2024

WebPartially non-autoregressive image caption-ing. In AAAI, 2024.2 [6]Zheng-cong Fei. Fast image caption generation with position alignment. arXiv, 2024.2 [7]Junlong Gao, et al. Masked non-autoregressive image cap-tioning. arXiv, 2024.2 [8]Jiatao Gu, et al. Non-autoregressive neural machine transla- WebBesides, partially non-autoregressive mod-els [Fei, 2024; Ran et al., 2024] are proposed by consider-ing a sentence as a series of concatenated word groups. The groups are …

Semi-Autoregressive Image Captioning Proceedings of the 29th …

WebOct 12, 2024 · In this paper, we propose a non-autoregressive approach for faster image caption generation. Technically, low-dimension continuous latent variables are shaped to capture semantic information and word dependencies from extracted image features before sentence decoding. ... Masked Non-Autoregressive Image Captioning. arXiv preprint … Web2 minutes ago · Kourtney Kardashian proved that she is her husband's number one fan as she proudly filmed Travis Barker as he performed with Blink-182 during Coachella on … effingham il building permit

Semi-Autoregressive Image Captioning DeepAI

WebMar 18, 2024 · Partially Non-Autoregressive Image Captioning. In AAAI2024. [ paper] [ code] [ video] Zhengcong Fei. Retrieve and Revise: Improving Peptide Identification with … WebOct 11, 2024 · Current state-of-the-art approaches for image captioning typically adopt an autoregressive manner, i.e., generating descriptions word by word, which suffers from … WebOct 17, 2024 · Current state-of-the-art image captioning models adopt autoregressive decoders, i.e. they generate each word by conditioning on previously generated words, which leads to heavy latency during inference. To tackle this issue, non-autoregressive image captioning models have recently been proposed to significantly accelerate the … effingham hospital physical therapy

Kourtney Kardashian films husband Travis Barker before …

WebTowards Accurate Image Coding: Improved Autoregressive Image Generation with Dynamic Vector Quantization Mengqi Huang · Zhendong Mao · Zhuowei Chen · Yongdong Zhang Binary Latent Diffusion Ze Wang · Jiang Wang · Zicheng Liu · Qiang Qiu Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models WebThe decoding is implemented on a single NVIDIA GeForce GTX 1080 Ti. - "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 ... effingham il assessor\u0027s officeWebOct 17, 2024 · Current state-of-the-art image captioning models adopt autoregressive decoders, i.e. they generate each word by conditioning on previously generated words, … effingham humane society

"WebApr 23, 2024 · Partially Non-Autoregressive Image Captioning. Zhengcong Fei. generates in word groups; Transformer-based [pdf] Improving Image Captioning by … " - Partially non-autoregressive image captioning

Partially non-autoregressive image captioning

WebPartially Non-Autoregressive Image Captioning. Zhengcong Fei. generates in word groups; Transformer-based [pdf] Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network. Jiayi Ji. [pdf] Dual-Level Collaborative Transformer for Image Captioning. Yunpeng Luo. [pdf] WebThen, with the help of the partially deterministic prior information and image features, SAIC model non-autoregressively fills all the skipped words with one iteration. ... Longteng Guo, Jing Liu, Xinxin Zhu, Xingjian He, Jie Jiang, and Hanqing Lu. 2024. Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning ...

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WebNov 28, 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 … WebApr 6, 2024 · 多模态论文分享共计16篇 Image Captioning相关(3篇)[1] Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data 标题：在没有对齐视频和文本数据的情况…

Webautoregressive and non-autoregressive image caption models, both of which follows on Transformer-based encoder-decoder paradigm. After that, we conduct pilot experiments as well as empirical analy-ses on the effects of context information for caption decoding. 2.1 Model Architecture Generally, AIC and NAIC models hold the same visual encoder WebThis repository contains the reference code for the paper Partial Non-Autoregressive Image Captioning, Requirements Python 3 PyTorch (>1.0) torchvision Data preparation …

WebBased on this work, Partially Non-Autoregressive Image Captioning by Fei [7] and semi Non-Autoregressive Image Captioning by Xu et al. [8] partitioned the generated text in subgroups. Words in the Web[3] image captioning benchmark. Experimental results show that SATIC achieves a better balance between speed, quality and easy training. Speciﬁcally, SATIC generates …

WebOct 12, 2024 · Partially Non-Autoregressive Image Captioning. Article. May 2024; Zhengcong Fei; Current state-of-the-art image captioning systems usually generated …

effingham humane society illinoisWebMay 18, 2024 · Non-autoregressive image captioning, on the other hand, predicts the entire sentence simultaneously and accelerates the inference process significantly. … effingham hs bballWebOct 11, 2024 · help of the partially deterministic prior information and image features, SAIC model non-autoregressively fills all the skipped words with one iteration. Experimental results on the MS COCO benchmark demonstrate that our SAIC model outperforms the preceding non-autoregressive image captioning models while content type in c#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, … effingham hotels illinoisWebPartially Non-Autoregressive Image Captioning. Z Fei. AAAI 2024, 2024. 9: 2024: Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency. Z Li, J Zhang, Z Fei, Y Feng, J Zhou. ACL 2024, 2024. 8: 2024: Attention-Aligned Transformer for Image Captioning. content type incorrectly stated impactWebPartially Non-Autoregressive Image Captioning Zhengcong Fei Association for Advancement of Arti cial Intelligence (AAAI) 2024, CCF-A Memory-Augumented Image … content type header rest apiWebPartially non-autoregressive image captioning. In Proc. AAAI, Vol. 35. 1309--1316. Google Scholar Cross Ref; Zhengcong Fei. 2024. Attention-Aligned Transformer for … effingham humane society il