all AI news
Prophet Attention: Predicting Attention with Future Attention for Improved Image Captioning. (arXiv:2210.10914v1 [cs.CV])
Oct. 21, 2022, 1:16 a.m. | Fenglin Liu, Xuewei Ma, Xuancheng Ren, Xian Wu, Wei Fan, Yuexian Zou, Xu Sun
cs.CV updates on arXiv.org arxiv.org
Recently, attention based models have been used extensively in many
sequence-to-sequence learning systems. Especially for image captioning, the
attention based models are expected to ground correct image regions with proper
generated words. However, for each time step in the decoding process, the
attention based models usually use the hidden state of the current input to
attend to the image regions. Under this setting, these attention models have a
"deviated focus" problem that they calculate the attention weights based on
previous …
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Senior Machine Learning Engineer
@ GPTZero | Toronto, Canada
ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)
@ HelloBetter | Remote
Doctoral Researcher (m/f/div) in Automated Processing of Bioimages
@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena
Seeking Developers and Engineers for AI T-Shirt Generator Project
@ Chevon Hicks | Remote
Senior Applied Data Scientist
@ dunnhumby | London
Principal Data Architect - Azure & Big Data
@ MGM Resorts International | Home Office - US, NV