With the development of spatial transcriptomics, now we could have a much better understanding of the spatial genomic profile of complex tissue. However, the cell segmentation remains a critical step for data analysis processing. Here we developed an ...

• A small target detection algorithm based on feature interaction and guided learning.
• A feature guided alignment module is designed to obtain more effective features.
• Gaussian distribution sample allocation strategy is introduced to ...

At present, for the diverse target sizes, different angles, and complex environment in aerial images, how to detect small objects effectively in aerial images is still a challenge task. In order to further improve the detection accuracy and ...

At present times, indoor surveillance becomes a hot research topic among researchers and business sectors. Human detection is one of the vital areas of focus in the surveillance system owing to its significance in proper person detection, human ...

Multimodal Named Entity Recognition (MNER) is a challenging task in social media due to the combination of text and image features. Previous MNER work has focused on predicting entity information after fusing visual and text features. However, ...

Object detection and object recognition are the most important applications of computer vision. To pursue the task of object detection efficiently, a model with higher detection accuracy is required. Increasing the detection accuracy of the model ...

Faster region-based convolution neural network (Faster RCNN) architecture was proposed as an efficient object detection method, wherein a CNN is used to extract image features. However, CNNs require a large number of learning parameters, and an ...

Surface defects are an inevitable problem in the production process of metal workpieces. Computer vision based surface defect detection methods outperform manual inspection methods and are gradually being applied in industrial production. In this paper, ...

There are many surface defects which are difficult to detect manually in the process of chemical fiber silk production. In order to realize the intelligent detection on these defects and improve detection accuracy, an improved Faster RCNN algorithm was ...

Prevalence of gastrointestinal (GI) cancer is growing alarmingly every year leading to a substantial increase in the mortality rate. Endoscopic detection is providing crucial diagnostic support, however, subtle lesions in upper and lower GI are ...

Leaf spot disease, which causes 10 − 50% loss in sugar beet yield, causes great damage on the leaves. This disease physiologically appears as individual circular spots on the sugar beet leaves and over time spreads to the entire leaf, resulting in ...

In order to solve the problems of various kinds of defects, defect ratio varies greatly, imbalanced defect aspect ratio and high integration degree with background in fabric defect detection, a method combining super-resolution reconstruction ...

Categorizing of clothes from wild fashion images involves identifying the type of clothes a person wears from non-studio images such as a shirt, trousers, and so on. Identifying the fashion clothes from wild images that are often grainy, unfocused, ...

With the increasing proportion of power equipment in human life and production, the safe and stable operation of power equipment is related to the people's livelihood and national economy, and it is also very important to the sustainable ...

In this paper, a novel approach is proposed to detect the dental materials in dental Panoramic images. In general, dental Panoramic images are examined by the dentists to detect the dental materials of the patients. Examining the dental Panoramic ...

Recently, the object detection and recognition based applications are widely adopted in various real-time and offline applications. The computer vision based automatic learning schemes have gained huge attraction from researchers due ...

Object detection has been an active area of research over the past two decades. The complexity of detecting an object increases with the increase in object speed and decrease in object size. Similar scenarios are observed in sports ...

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• A novel CNN architecture to detect small-sized objects is proposed.
• Validation ...

Surface defect detection is critical for obtaining high-quality products. However, surface defect detection on circular tubes is more difficult than on flat plates because the surface of circular tubes reflect light, which result in missed ...

Fire detection by analyzing video and images from surveillance cameras is increasingly being used as an early warning system. Fire detection using video surveillance as input is much more efficient than fire sensors because of the broader coverage area ...

The COVID-19 pandemic has caused many shutdowns in different industries around the world. Sectors such as infrastructure construction and maintenance projects have not been suspended due to their significant effect on people’s routine life. In ...

Mitotic figure count is an important prognostic factor for breast cancer grading. However, the mitotic identification often suffers from the domain variations. We propose a two-step domain-invariant mitosis detection method based on Faster RCNN ...