Attention, please! A survey of neural attention models in deep learning
A de Santana Correia, EL Colombini - Artificial Intelligence Review, 2022 - Springer
In humans, Attention is a core property of all perceptual and cognitive operations. Given our
limited ability to process competing sources, attention mechanisms select, modulate, and …
limited ability to process competing sources, attention mechanisms select, modulate, and …
Video summarization using deep neural networks: A survey
Video summarization technologies aim to create a concise and complete synopsis by
selecting the most informative parts of the video content. Several approaches have been …
selecting the most informative parts of the video content. Several approaches have been …
A review on video summarization techniques
The exponential growth of technology has resulted in a profusion of advanced imaging
devices and eases internet accessibility, leading to an increase in the creation and use of …
devices and eases internet accessibility, leading to an increase in the creation and use of …
Learning a deep multi-scale feature ensemble and an edge-attention guidance for image fusion
Image fusion integrates a series of images acquired from different sensors, eg, infrared and
visible, outputting an image with richer information than either one. Traditional and recent …
visible, outputting an image with richer information than either one. Traditional and recent …
Real-time video emotion recognition based on reinforcement learning and domain knowledge
Multimodal emotion recognition in conversational videos (ERC) develops rapidly in recent
years. To fully extract the relative context from video clips, most studies build their models on …
years. To fully extract the relative context from video clips, most studies build their models on …
Concealed attack for robust watermarking based on generative model and perceptual loss
Q Li, X Wang, B Ma, X Wang, C Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
While existing watermarking attack methods can disturb the correct extraction of watermark
information, the visual quality of watermarked images will be greatly damaged. Therefore, a …
information, the visual quality of watermarked images will be greatly damaged. Therefore, a …
Conversational AI: An overview of methodologies, applications & future scope
P Kulkarni, A Mahabaleshwarkar… - 2019 5th …, 2019 - ieeexplore.ieee.org
Conversational AI is a sub-domain of Artificial Intelligence that deals with speech-based or
text-based AI agents that have the capability to simulate and automate conversations and …
text-based AI agents that have the capability to simulate and automate conversations and …
Dsnet: A flexible detect-to-summarize network for video summarization
In this paper, we propose a Detect-to-Summarize network (DSNet) framework for supervised
video summarization. Our DSNet contains anchor-based and anchor-free counterparts. The …
video summarization. Our DSNet contains anchor-based and anchor-free counterparts. The …
Transparency by design: Closing the gap between performance and interpretability in visual reasoning
Visual question answering requires high-order reasoning about an image, which is a
fundamental capability needed by machine systems to follow complex directives. Recently …
fundamental capability needed by machine systems to follow complex directives. Recently …
Align and attend: Multimodal summarization with dual contrastive losses
The goal of multimodal summarization is to extract the most important information from
different modalities to form summaries. Unlike unimodal summarization, the multimodal …
different modalities to form summaries. Unlike unimodal summarization, the multimodal …