Attention has arguably become one of the most important concepts in the deep learning
field. It is inspired by the biological systems of humans that tend to focus on the distinctive …

Applying the learning mechanism of natural living beings to endow intelligent robots with
humanoid perception and decision-making wisdom becomes an important force to promote …

Artificial intelligence (AI) is finding more uses in the human society resulting in a need to
scrutinise the relationship between humans and AI. Technology itself has advanced from the …

Automatic image caption prediction is a challenging task in natural language processing.
Most of the researchers have used the convolutional neural network as an encoder and …

Image captioning is a difficult problem for machine learning algorithms to compress huge
amounts of images into descriptive languages. The recurrent models are popularly used as …

Image captioning, aiming at generating natural sentences to describe image contents, has
received significant attention with remarkable improvements in recent advances. The …

Vehicle Re-ID has recently attracted enthusiastic attention due to its potential applications in
smart city and urban surveillance. However, it suffers from large intra-class variation caused …

Recent image captioning models are achieving impressive results based on popular
metrics, ie, BLEU, CIDEr, and SPICE. However, focusing on the most popular metrics that …

Abstract Automatic Visual Captioning (AVC) generates syntactically and semantically correct
sentences by describing important objects, attributes, and their relationships with each other …

Image captioning generates a human-like description for a query image, which has attracted
considerable attention recently. The most broadly utilized model for image description is an …