Results 91 to 100 of about 1,120,551 (376)

SALIENCY BASED SEGMENTATION OF SATELLITE IMAGES [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Saliency gives the way as humans see any image and saliency based segmentation can be eventually helpful in Psychovisual image interpretation. Keeping this in view few saliency models are used along with segmentation algorithm and only the salient ...
A. Sharma, J. K. Ghosh
doaj   +1 more source

Locate Globally, Segment Locally: A Progressive Architecture With Knowledge Review Network for Salient Object Detection

AAAI Conference on Artificial Intelligence, 2021
Salient object location and segmentation are two different tasks in salient object detection (SOD). The former aims to globally find the most attractive objects in an image, whereas the latter can be achieved only using local regions that contain salient
Binwei Xu, Haoran Liang, Ronghua Liang, Peng Chen   +3 more
semanticscholar   +1 more source

S4Net: Single Stage Salient-Instance Segmentation

, 2019
We consider an interesting problem-salient instance segmentation in this paper. Other than producing bounding boxes, our network also outputs high-quality instance-level segments.
Cheng, Ming-Ming, Fan, Ruochen, Hou, Qibin, Hu, Shi-Min, Mu, Tai-Jiang, Wang, Jingdong   +5 more
core   +1 more source

Identification of novel small molecule inhibitors of ETS transcription factors

FEBS Letters, EarlyView.
ETS transcription factors play an essential role in tumourigenesis and are indispensable for sprouting angiogenesis, a hallmark of cancer, which fuels tumour expansion and dissemination. Thus, targeting ETS transcription factor function could represent an effective, multifaceted strategy to block tumour growth. The evolutionarily conserved E‐Twenty‐Six
Shaima Abdalla, Zary Forghany, Jin Ma, Johan G. Hollander, Ruta Nachane, Karoly Szuhai, Pancras C. W. Hogendoorn, Peter ten Dijke, Dipen Shah, David A. Baker   +9 more
wiley   +1 more source

RGB-D Salient Object Detection Method Based on Multi-Modal Fusion and Contour Guidance

IEEE Access, 2023
Salient object detection is a critical task in the field of computer vision. However, existing detection methods still face certain challenges, such as the inability to effectively integrate multimodal features and the blurring of detection result ...
Yanbin Peng, Mingkun Feng, Zhijun Zheng
doaj   +1 more source

Salient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context [PDF]

arXiv, 2023
Detecting road traffic signs and accurately determining how they can affect the driver's future actions is a critical task for safe autonomous driving systems. However, various traffic signs in a driving scene have an unequal impact on the driver's decisions, making detecting the salient traffic signs a more important task.
arxiv  

Social context prevents heat hormetic effects against mutagens during fish development

FEBS Letters, EarlyView.
This study shows that sublethal heat stress protects fish embryos against ultraviolet radiation, a concept known as ‘hormesis’. However, chemical stress transmission between fish embryos negates this protective effect. By providing evidence for the mechanistic molecular basis of heat stress hormesis and interindividual stress communication, this study ...
Lauric Feugere, Claudio Silva De Freitas, Adam Bates, Kenneth B. Storey, Pedro Beltran‐Alvarez, Katharina C. Wollenberg Valero   +5 more
wiley   +1 more source

CAGNet: Content-Aware Guidance for Salient Object Detection [PDF]

Pattern Recognition, Volume 103, 2020, 107303, ISSN 0031-3203, 2019
Beneficial from Fully Convolutional Neural Networks (FCNs), saliency detection methods have achieved promising results. However, it is still challenging to learn effective features for detecting salient objects in complicated scenarios, in which i) non-salient regions may have "salient-like" appearance; ii) the salient objects may have different ...
arxiv   +1 more source

Unlocking the potential of tumor‐derived DNA in urine for cancer detection: methodological challenges and opportunities

Molecular Oncology, EarlyView.
Urine is a rich source of biomarkers for cancer detection. Tumor‐derived material is released into the bloodstream and transported to the urine. Urine can easily be collected from individuals, allowing non‐invasive cancer detection. This review discusses the rationale behind urine‐based cancer detection and its potential for cancer diagnostics ...
Birgit M. M. Wever, Renske D. M. Steenbergen   +1 more
wiley   +1 more source

Visual Saliency Detection Based on Global Guidance Map and Background Attention

IEEE Access
In the field of Visual Saliency Detection, accurately segmenting salient objects from images is crucial for various applications such as image editing and visual tracking.
Yanbin Peng, Mingkun Feng, Zhinian Zhai
doaj   +1 more source