Aspect-based sentiment analysis: A survey of deep learning methods
Sentiment analysis is a process of analyzing, processing, concluding, and inferencing
subjective texts with the sentiment. Companies use sentiment analysis for understanding …
subjective texts with the sentiment. Companies use sentiment analysis for understanding …
Deep CNN and Deep GAN in Computational Visual Perception‐Driven Image Analysis
Computational visual perception, also known as computer vision, is a field of artificial
intelligence that enables computers to process digital images and videos in a similar way as …
intelligence that enables computers to process digital images and videos in a similar way as …
Feature map distillation of thin nets for low-resolution object recognition
Z Huang, S Yang, MC Zhou, Z Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Intelligent video surveillance is an important computer vision application in natural
environments. Since detected objects under surveillance are usually low-resolution and …
environments. Since detected objects under surveillance are usually low-resolution and …
Effective visual domain adaptation via generative adversarial distribution matching
In the field of computer vision, without sufficient labeled images, it is challenging to train an
accurate model. However, through visual adaptation from source to target domains, a …
accurate model. However, through visual adaptation from source to target domains, a …
Generative adversarial networks: a survey on applications and challenges
MR Pavan Kumar, P Jayagopal - International Journal of Multimedia …, 2021 - Springer
Deep neural networks have attained great success in handling high dimensional data,
especially images. However, generating naturalistic images containing ginormous subjects …
especially images. However, generating naturalistic images containing ginormous subjects …
MU-GAN: Facial attribute editing based on multi-attention mechanism
Facial attribute editing has mainly two objectives: 1) translating image from a source domain
to a target one, and 2) only changing the facial regions related to a target attribute and …
to a target one, and 2) only changing the facial regions related to a target attribute and …
Single image brightening via multi-scale exposure fusion with hybrid learning
A small ISO and a small exposure time are usually used to capture an image in back-or low-
light condition which results in an image with negligible motion blur and small noise but …
light condition which results in an image with negligible motion blur and small noise but …
Autonomous weld seam tracking under strong noise based on feature-supervised tracker-driven generative adversarial network
Strong noise from complex welding condition such as arc light and splashes lead to high
tracking error in vision-based seam tracking. To solve this problem, this paper proposes an …
tracking error in vision-based seam tracking. To solve this problem, this paper proposes an …
A coarse-to-fine multi-stream hybrid deraining network for single image deraining
Single image deraining task is still a very challenging task due to its ill-posed nature in
reality. Recently, researchers have tried to fix this issue by training the CNN-based end-to …
reality. Recently, researchers have tried to fix this issue by training the CNN-based end-to …
Blind attention geometric restraint neural network for single image dynamic/defocus deblurring
J Zhang, W Zhai - IEEE Transactions on Neural Networks and …, 2022 - ieeexplore.ieee.org
Based on the information loss analysis of the blur accumulation model, a novel single-image
deblurring method is proposed. We apply the recurrent neural network architecture to …
deblurring method is proposed. We apply the recurrent neural network architecture to …