Enhancing transportation systems via deep learning: A survey
Abstract Machine learning (ML) plays the core function to intellectualize the transportation
systems. Recent years have witnessed the advent and prevalence of deep learning which …
systems. Recent years have witnessed the advent and prevalence of deep learning which …
[HTML][HTML] Video description: A comprehensive survey of deep learning approaches
Video description refers to understanding visual content and transforming that acquired
understanding into automatic textual narration. It bridges the key AI fields of computer vision …
understanding into automatic textual narration. It bridges the key AI fields of computer vision …
Vid2seq: Large-scale pretraining of a visual language model for dense video captioning
In this work, we introduce Vid2Seq, a multi-modal single-stage dense event captioning
model pretrained on narrated videos which are readily-available at scale. The Vid2Seq …
model pretrained on narrated videos which are readily-available at scale. The Vid2Seq …
A general survey on attention mechanisms in deep learning
G Brauwers, F Frasincar - IEEE Transactions on Knowledge …, 2021 - ieeexplore.ieee.org
Attention is an important mechanism that can be employed for a variety of deep learning
models across many different domains and tasks. This survey provides an overview of the …
models across many different domains and tasks. This survey provides an overview of the …
End-to-end dense video captioning with parallel decoding
Dense video captioning aims to generate multiple associated captions with their temporal
locations from the video. Previous methods follow a sophisticated" localize-then-describe" …
locations from the video. Previous methods follow a sophisticated" localize-then-describe" …
Task-adaptive attention for image captioning
Attention mechanisms are now widely used in image captioning models. However, most
attention models only focus on visual features. When generating syntax related words, little …
attention models only focus on visual features. When generating syntax related words, little …
X-llm: Bootstrapping advanced large language models by treating multi-modalities as foreign languages
Large language models (LLMs) have demonstrated remarkable language abilities. GPT-4,
based on advanced LLMs, exhibits extraordinary multimodal capabilities beyond previous …
based on advanced LLMs, exhibits extraordinary multimodal capabilities beyond previous …
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 …
Mirrorgan: Learning text-to-image generation by redescription
Generating an image from a given text description has two goals: visual realism and
semantic consistency. Although significant progress has been made in generating high …
semantic consistency. Although significant progress has been made in generating high …
AAP-MIT: Attentive Atrous Pyramid Network and Memory Incorporated Transformer for Multisentence Video Description
J Prudviraj, MI Reddy, C Vishnu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Generating multi-sentence descriptions for video is considered to be the most complex task
in computer vision and natural language understanding due to the intricate nature of video …
in computer vision and natural language understanding due to the intricate nature of video …