4.5 Article

Super-resolution guided knowledge distillation for low-resolution image classification

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Effects of Image Degradation and Degradation Removal to CNN-Based Image Classification

Yanting Pei et al.

Summary: This article investigates the impact of degradations on the performance of image classification with deep learning neural networks, and explores whether degradation removal can help improve image classification performance.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2021)

Article Engineering, Electrical & Electronic

Consistency Guided Network for Degraded Image Classification

Yanting Pei et al.

Summary: In this article, a new Consistency Guided Network (CG-Net) is proposed to improve the classification performance of degraded images through Category Consistency Loss, Semantic Consistency Loss, and Visual Attention Alignment Loss. Extensive experiments on various degraded images show that the proposed method significantly outperforms baselines, demonstrating its effectiveness.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2021)

Article Computer Science, Artificial Intelligence

Low resolution face recognition using a two-branch deep convolutional neural network architecture

Erfan Zangeneh et al.

EXPERT SYSTEMS WITH APPLICATIONS (2020)

Article Computer Science, Artificial Intelligence

EBIT: Weakly-supervised image translation with edge and boundary enhancement

Tianren Wang et al.

PATTERN RECOGNITION LETTERS (2020)

Article Computer Science, Artificial Intelligence

SSFNET-VOS: Semantic segmentation and fusion network for video object segmentation

Vipal Kumar Sharma et al.

PATTERN RECOGNITION LETTERS (2020)

Article Computer Science, Hardware & Architecture

ImageNet Classification with Deep Convolutional Neural Networks

Alex Krizhevsky et al.

COMMUNICATIONS OF THE ACM (2017)

Article Engineering, Electrical & Electronic

Making a Completely Blind Image Quality Analyzer

Anish Mittal et al.

IEEE SIGNAL PROCESSING LETTERS (2013)

Article Computer Science, Artificial Intelligence

Very Low Resolution Face Recognition Problem

Wilman W. W. Zou et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2012)

Article Computer Science, Artificial Intelligence

Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain

Michele A. Saad et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2012)

Article Engineering, Electrical & Electronic

Scope of validity of PSNR in image/video quality assessment

Q. Huynh-Thu et al.

ELECTRONICS LETTERS (2008)

Article Computer Science, Artificial Intelligence

Image quality assessment: From error visibility to structural similarity

Z Wang et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2004)