[HTML][HTML] Review of the state of the art of deep learning for plant diseases: A broad analysis and discussion
Deep learning (DL) represents the golden era in the machine learning (ML) domain, and it
has gradually become the leading approach in many fields. It is currently playing a vital role …
has gradually become the leading approach in many fields. It is currently playing a vital role …
A survey and taxonomy of adversarial neural networks for text‐to‐image synthesis
Text‐to‐image synthesis refers to computational methods which translate human written
textual descriptions, in the form of keywords or sentences, into images with similar semantic …
textual descriptions, in the form of keywords or sentences, into images with similar semantic …
Inferring semantic layout for hierarchical text-to-image synthesis
We propose a novel hierarchical approach for text-to-image synthesis by inferring semantic
layout. Instead of learning a direct mapping from text to image, our algorithm decomposes …
layout. Instead of learning a direct mapping from text to image, our algorithm decomposes …
Photographic text-to-image synthesis with a hierarchically-nested adversarial network
This paper presents a novel method to deal with the challenging task of generating
photographic images conditioned on semantic image descriptions. Our method introduces …
photographic images conditioned on semantic image descriptions. Our method introduces …
Unsupervised image translation using adversarial networks for improved plant disease recognition
Acquisition of data in task-specific applications of machine learning like plant disease
recognition is a costly endeavor owing to the requirements of professional human diligence …
recognition is a costly endeavor owing to the requirements of professional human diligence …
Panogen: Text-conditioned panoramic environment generation for vision-and-language navigation
Abstract Vision-and-Language Navigation requires the agent to follow language instructions
to navigate through 3D environments. One main challenge in Vision-and-Language …
to navigate through 3D environments. One main challenge in Vision-and-Language …
A latent encoder coupled generative adversarial network (le-gan) for efficient hyperspectral image super-resolution
Realistic hyperspectral image (HSI) super-resolution (SR) techniques aim to generate a high-
resolution (HR) HSI with higher spectral and spatial fidelity from its low-resolution (LR) …
resolution (HR) HSI with higher spectral and spatial fidelity from its low-resolution (LR) …
Cpgan: Content-parsing generative adversarial networks for text-to-image synthesis
Typical methods for text-to-image synthesis seek to design effective generative architecture
to model the text-to-image mapping directly. It is fairly arduous due to the cross-modality …
to model the text-to-image mapping directly. It is fairly arduous due to the cross-modality …
Semantic-aware grad-gan for virtual-to-real urban scene adaption
Recent advances in vision tasks (eg, segmentation) highly depend on the availability of
large-scale real-world image annotations obtained by cumbersome human labors …
large-scale real-world image annotations obtained by cumbersome human labors …
Citrus greening disease recognition algorithm based on classification network using TRL-GAN
D Xiao, R Zeng, Y Liu, Y Huang, J Liu, J Feng… - … and Electronics in …, 2022 - Elsevier
The monitoring and prevention and control of citrus yellow dragon disease is a significant
measure to ensure citrus production. If yellow dragon disease appears in citrus orchards, it …
measure to ensure citrus production. If yellow dragon disease appears in citrus orchards, it …