Robust and Explainable Fine-Grained Visual Classification with Transfer Learning: A Dual-Carriageway Framework
In the realm of practical fine-grained visual classification applications rooted in deep
learning a common scenario involves training a model using a pre-existing dataset …
learning a common scenario involves training a model using a pre-existing dataset …
How quality affects deep neural networks in fine-grained image classification
In this paper, we propose a No-Reference Image Quality Assessment (NRIQA) guided cut-off
point selection (CPS) strategy to enhance the performance of a fine-grained classification …
point selection (CPS) strategy to enhance the performance of a fine-grained classification …
Machine Learning Advances for Practical Problems in Computer Vision
P JACKSON, G THOMAS - 2020 - etheses.dur.ac.uk
Convolutional neural networks (CNN) have become the de facto standard for computer
vision tasks, due to their unparalleled performance and versatility. Although deep learning …
vision tasks, due to their unparalleled performance and versatility. Although deep learning …