Results 71 to 80 of about 94,707 (276)
Salient object detection in egocentric videos
IET Image ProcessingIn the realm of video salient object detection (VSOD), the majority of research has traditionally been centered on third‐person perspective videos. However, this focus overlooks the unique requirements of certain first‐person tasks, such as autonomous ...
Hao Zhang +4 more
doaj +1 more source
Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels
, 2018 Computer vision algorithms with pixel-wise labeling tasks, such as semantic segmentation and salient object detection, have gone through a significant accuracy increase with the incorporation of deep learning.
Aksu, Emre +4 more
core +1 more source
Unifying Global-Local Representations in Salient Object Detection with Transformer [PDF]
, 2021 Sucheng Ren +4 more
openalex +1 more source
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 +3 more
wiley +1 more source
Adaptive Fusion for RGB-D Salient Object Detection
IEEE Access, 2019 RGB-D (red, green, blue, and depth) salient object detection aims to identify the most visually distinctive objects in a pair of color and depth images.
Ningning Wang, Xiaojin Gong
doaj +1 more source
Dual-Branch Feature Fusion Network for Salient Object Detection
Photonics, 2022 Proper features matter for salient object detection. Existing methods mainly focus on designing a sophisticated structure to incorporate multi-level features and filter out cluttered features.
Zhehan Song +4 more
doaj +1 more source
Semantic Prior Analysis for Salient Object Detection [PDF]
IEEE Transactions on Image Processing, 2019 Salient object detection aims to detect the main objects in the given image. In this paper, we proposed an approach that integrates semantic priors into the salient object detection process. The method first obtains an explicit saliency map that is refined by the explicit semantic priors learned from data.
Tam V. Nguyen +2 more
openaire +2 more sources
Time after time – circadian clocks through the lens of oscillator theory
FEBS Letters, EarlyView.Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo +2 more
wiley +1 more source
Salient Object Detection via Augmented Hypotheses [PDF]
, 2015 In this paper, we propose using \textit{augmented hypotheses} which consider objectness, foreground and compactness for salient object detection. Our algorithm consists of four basic steps.
Nguyen, Tam V., Sepulveda, Jose
core +2 more sources
FEBS Letters, EarlyView.At low cell density, SETDB1 and YAP1 accumulate in the nucleus. As cell density increases, the Hippo pathway is gradually activated, and SETDB1 is associated with increased YAP1 phosphorylation. At high cell density, phosphorylated YAP1 is sequestered in the cytoplasm, while SETDB1 becomes polyubiquitinated and degraded by the ubiquitin–proteasome ...
Jaemin Eom +3 more
wiley +1 more source