Results 101 to 110 of about 7,363,707 (395)

DC-YOLOv8: Small-Size Object Detection Algorithm Based on Camera Sensor

Electronics, 2023
Traditional camera sensors rely on human eyes for observation. However, human eyes are prone to fatigue when observing objects of different sizes for a long time in complex scenes, and human cognition is limited, which often leads to judgment errors and ...
Haitong Lou, Xuehu Duan, Junmei Guo, Haiying Liu, J. Gu, Lingyun Bi, Haonan Chen   +6 more
semanticscholar   +1 more source

Taurine promotes glucagon‐like peptide‐1 secretion in enteroendocrine L cells

FEBS Letters, EarlyView.
Taurine, a sulfur‐containing amino acid, is likely taken up by enteroendocrine L cells via the taurine transporter. This process increases the levels of cytosolic ATP. The increase in intracellular Ca2+ concentrations and glucagon‐like peptide‐1 secretion through membrane depolarization is caused by the closure of ATP‐sensitive potassium channels ...
Yuri Osuga, Kazuki Harada, Takuya Yamauchi, Tetsuya Kitaguchi, Masami Yokota Hirai, Mitsuharu Matsumoto, Takashi Tsuboi   +6 more
wiley   +1 more source

A deep convolutional neural network for diabetic retinopathy detection via mining local and long‐range dependence

CAAI Transactions on Intelligence Technology
Diabetic retinopathy (DR), the main cause of irreversible blindness, is one of the most common complications of diabetes. At present, deep convolutional neural networks have achieved promising performance in automatic DR detection tasks.
Xiaoling Luo, Wei Wang, Yong Xu, Zhihui Lai, Xiaopeng Jin, Bob Zhang, David Zhang   +6 more
doaj   +1 more source

Deep Regionlets for Object Detection

, 2018
In this paper, we propose a novel object detection framework named "Deep Regionlets" by establishing a bridge between deep neural networks and conventional detection schema for accurate generic object detection.
Kaiming He, M Everingham, PF Felzenszwalb, S Mallat, S Ren, T Ahonen, Tsung-Yi Lin, W Ouyang, Wei Liu, X Wang   +9 more
core   +1 more source

Making tau amyloid models in vitro: a crucial and underestimated challenge

FEBS Letters, EarlyView.
This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley   +1 more source

Context in object detection: a systematic literature review [PDF]

Context in object detection: a systematic literature review. Artificial Intelligence Review (2025)
Context is an important factor in computer vision as it offers valuable information to clarify and analyze visual data. Utilizing the contextual information inherent in an image or a video can improve the precision and effectiveness of object detectors.
arxiv   +1 more source

Learning RGB-D Salient Object Detection using background enclosure, depth contrast, and top-down features

, 2017
Recently, deep Convolutional Neural Networks (CNN) have demonstrated strong performance on RGB salient object detection. Although, depth information can help improve detection results, the exploration of CNNs for RGB-D salient object detection remains ...
Barnes, Nick, Feng, David, Shigematsu, Riku, You, Shaodi   +3 more
core   +1 more source

Seamless Detection: Unifying Salient Object Detection and Camouflaged Object Detection

Expert Systems with Applications
Achieving joint learning of Salient Object Detection (SOD) and Camouflaged Object Detection (COD) is extremely challenging due to their distinct object characteristics, i.e., saliency and camouflage. The only preliminary research treats them as two contradictory tasks, training models on large-scale labeled data alternately for each task and assessing ...
Yi Liu, Chengxin Li, Xiaohui Dong, Lei Li, Dingwen Zhang, Shoukun Xu, Jungong Han   +6 more
openaire   +2 more sources

Visualizing Object Detection Features [PDF]

International Journal of Computer Vision, 2016
We introduce algorithms to visualize feature spaces used by object detectors. Our method works by inverting a visual feature back to multiple natural images. We found that these visualizations allow us to analyze object detection systems in new ways and gain new insight into the detector's failures.
Pirsiavash, Hamed, Malisiewicz, Tomasz, Vondrick, Carl Martin, Khosla, Aditya, Torralba, Antonio   +4 more
openaire   +5 more sources

The power of microRNA regulation—insights into immunity and metabolism

FEBS Letters, EarlyView.
MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto, Nicola Manfrini, Stefano Biffo   +2 more
wiley   +1 more source