context-based detection and GAN-based detection. Then, we thoroughly analyze the performance of some typical small object detection algorithms on popular datasets, such as MS-COCO, PASCAL-VOC. Finally, the possible research directions in the future are pointed out from five perspectives: emerging sm...
Open challenges for autonomous UAV control for object-goal navigation must address the research on finding methods for problems. For example, autonomy level and comparison metrics, considering safety, ethics, and legal implications.Similar content being viewed by others Path planning optimization in ...
Table 3 shows the main evaluation metrics in these datasets. Table 2. Summary of the multi-modal medical image segmentation datasets. DatasetTrainValidationTestSegmentation TaskModalityImage Size Brats2012 35 N/A 15 Brain tumor T1, T1C, T2, Flair 160×216×176176×176×216 Brats2013 35 N/A ...
That is, feature expression is the main research line of object classification, while structure learning is the research focus of object detection. Although the function requirements and objectives of the three stages of plant diseases and pests detection are different, yet in fact, the three ...
1901 Accesses 13 Altmetric Metrics details Abstract The Montreal consensus recognizes chronic cough as an extra-esophageal manifestation of gastroesophageal reflux disease. We performed a meta-analysis to assess the effects of acid-suppressive medications in adults with non-specific chronic cough. The ...
object detection, and so on, has recently been the data analysis tool to solve the problems and challenges in food domain, including food recognition, calories estimation, quality detection of fruits, vegetables, meat and aquatic products, food supply chain management and detection of food contaminat...
1.3 Main Challenges★ 1.3.1 Domain Shifts★ 1.3.2 Data Bias★ 1.3.3 Insufficient Instance Samples★ 1.3.4 Inaccurate Supervisory Signals 1.3.5 Incomplete Annotation★ 2 BACKGROUND 2.1 Advances in Few-Shot Learning 3 LIMITED-SUPERVISED FEW-SHOT OBJECT DETECTION 3.1 Meta-Learning Methods 3.1.1 Met...
12k Accesses 13 Altmetric Metrics details Abstract Background Alzheimer’s disease has become one of the most common neurodegenerative diseases worldwide, which seriously affects the health of the elderly. Early detection and intervention are the most effective prevention methods currently. Compared with ...
Is deep learning better than these alternative techniques and through which evaluation metrics? To answer these questions, we carefully reviewed selected papers, categorized them based on several structural dimensions (Sect. 3.2), and elaborate on their studied supply chain problems, their employed DL ...
The main image processing tasks are preprocessing, segmentation, object detection, denoising, and recognition. Image segmentation is an important step to solve the image processing problems. Decomposing/partitioning an image requires high computational time. To resolve this problem, GA is used due to ...