Results 61 to 70 of about 7,122,625 (292)

An Image Degradation Model for Depth‐augmented Image Editing [PDF]

Computer Graphics Forum, 2015
AbstractImages remain the most popular medium to capture our surroundings. Although significant advances have been made in developing image editing tools, the key challenge is to intelligently account for missing depth information. The growing popularity of depth images offers a new avenue to revisit image editing tasks.
James W. Hennessey, Niloy J. Mitra
openaire   +1 more source

Effectiveness of Image Augmentation Techniques on Non-Protective Personal Equipment Detection Using YOLOv8

Applied Sciences
Non-Protective Personal Equipment (PPE) detection is crucial on construction sites. Although deep learning models are adept at identifying such information from on-site cameras, their success relies on large, diverse, and high-quality datasets.
Sungman Park, Jae-jun Kim, Seunghyeon Wang, Juhyung Kim   +3 more
semanticscholar   +1 more source

Image Augmentation Approaches for Building Dimension Estimation in Street View Images Using Object Detection and Instance Segmentation Based on Deep Learning

Applied Sciences
There are numerous applications for building dimension data, including building performance simulation and urban heat island investigations. In this context, object detection and instance segmentation methods—based on deep learning—are often used with ...
Dongjin Hwang, Jae-jun Kim, Sungkon Moon, Seunghyeon Wang   +3 more
semanticscholar   +1 more source

Retrieval-Augmented Image Harmonization

Pattern Recognition
When embedding objects (foreground) into images (background), considering the influence of photography conditions like illumination, it is usually necessary to perform image harmonization to make the foreground object coordinate with the background image in terms of brightness, color, and etc.
Haolin Wang 0004, Ming Liu 0018, Zifei Yan, Chao Zhou 0003, Longan Xiao, Wangmeng Zuo   +5 more
openaire   +2 more sources

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source

Human Posture Detection Using Image Augmentation and Hyperparameter-Optimized Transfer Learning Algorithms

Applied Sciences, 2022
With the advancement in pose estimation techniques, human posture detection recently received considerable attention in many applications, including ergonomics and healthcare.
R. Ogundokun, R. Maskeliūnas, R. Damaševičius   +2 more
semanticscholar   +1 more source

The ubiquitin ligase RNF115 is required for the clearance of damaged lysosomes

FEBS Letters, EarlyView.
Upon lysosomal rupture, an E3 ubiquitin ligase RNF115 translocates from the cytosol to the damaged lysosomal membrane. Moreover, RNF115 depletion impairs the clearance of damaged lysosomes, identifying it as a key regulator of lysosomal quality control.
Sae Nakanaga, Toshiki Takahashi, Akiko Kuma, Hiroyuki Kawahara   +3 more
wiley   +1 more source

TRAIL‐PEG‐Apt‐PLGA nanosystem as an aptamer‐targeted drug delivery system potential for triple‐negative breast cancer therapy using in vivo mouse model

Molecular Oncology, EarlyView.
Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat, Aslihan Kucuk, Omer Erdogan, Samed Ozer, Bensu Kozan, Tugba Cuceli, Erkan Gumus, Evrim Cevik, Ozge Cevik   +8 more
wiley   +1 more source

Generative Adversarial Networks (GANs) for Image Augmentation in Farming: A Review

IEEE Access
Enhancing model performance in agricultural image analysis faces challenges due to limited datasets, biological variability, and uncontrolled environments. Deep learning models require large, realistic datasets, which are often difficult to obtain.
Z. Rahman, M. Asaari, Haidi Ibrahim, I. Z. Abidin, Mohamad Khairi Ishak   +4 more
semanticscholar   +1 more source

IMAGE CLASSIFICATION USING MODEL ENSEMBLING

ICTACT Journal on Image and Video Processing, 2022
Classifying images efficiently using various algorithms is very useful now-a-days given that the field of computer vision is growing rapidly. The research work highlighted in this paper focuses on the independent use of various models to classify images ...
Debabrata Datta, Anweshan Mukherjee, Soumen Mukherjee, Arup Kr. Bhattacharjee, Anal Acharya   +4 more
doaj   +1 more source