A brief survey of visual saliency detection
Salient object detection models mimic the behavior of human beings and capture the most
salient region/object from the images or scenes, this field contains many important …
salient region/object from the images or scenes, this field contains many important …
A pixel-level segmentation convolutional neural network based on deep feature fusion for surface defect detection
J Cao, G Yang, X Yang - IEEE Transactions on Instrumentation …, 2020 - ieeexplore.ieee.org
Surface defect detection is very important for the quality control of product and routine
maintenance of facilities, but it is still a big challenge due to the diversity and complexity of …
maintenance of facilities, but it is still a big challenge due to the diversity and complexity of …
ScanDMM: A deep markov model of scanpath prediction for 360deg images
Scanpath prediction for 360deg images aims to produce dynamic gaze behaviors based on
the human visual perception mechanism. Most existing scanpath prediction methods for …
the human visual perception mechanism. Most existing scanpath prediction methods for …
Spatio-temporal saliency networks for dynamic saliency prediction
C Bak, A Kocak, E Erdem… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Computational saliency models for still images have gained significant popularity in recent
years. Saliency prediction from videos, on the other hand, has received relatively little …
years. Saliency prediction from videos, on the other hand, has received relatively little …
TAS2-Net: Triple-Attention Semantic Segmentation Network for Small Surface Defect Detection
T Liu, Z He - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
Surface defect detection plays a vital role in manufacturing. However, it remains challenging:
1) small samples due to fewer defective products relative to numerous normal products and …
1) small samples due to fewer defective products relative to numerous normal products and …
Deep learning approach in aerial imagery for supporting land search and rescue missions
In this paper, we propose a novel approach to person detection in UAV aerial images for
search and rescue tasks in Mediterranean and Sub-Mediterranean landscapes. Person …
search and rescue tasks in Mediterranean and Sub-Mediterranean landscapes. Person …
Airport detection and aircraft recognition based on two-layer saliency model in high spatial resolution remote-sensing images
L Zhang, Y Zhang - IEEE Journal of Selected Topics in Applied …, 2016 - ieeexplore.ieee.org
Efficient airport detection and aircraft recognition are essential due to the strategic
importance of these regions and targets in economic and military construction. In this paper …
importance of these regions and targets in economic and military construction. In this paper …
Saliency detection via a multiple self-weighted graph-based manifold ranking
As an important task in the process of image understanding and analysis, saliency detection
has recently received increasing attention. In this paper, we propose an efficient multiple self …
has recently received increasing attention. In this paper, we propose an efficient multiple self …
Salient object segmentation via effective integration of saliency and objectness
This paper proposes an effective salient object segmentation method via the graph-based
integration of saliency and objectness. Based on the superpixel segmentation result of the …
integration of saliency and objectness. Based on the superpixel segmentation result of the …
A universal framework for salient object detection
In this paper, we propose a novel universal framework for salient object detection, which
aims to enhance the performance of any existing saliency detection method. First, rough …
aims to enhance the performance of any existing saliency detection method. First, rough …