Laminated panels are widely used in industry, and their quality inspection has traditionally relied on manual labor, which is time-consuming prone to errors. Automated detection can significantly improve efficiency reduce human error. With prior knowledge, object detectors focus updating model structures performance. Despite initial success, most methods become increasingly complex for industrial applications while also neglecting the distributions dataset, especially context of laminated...

Face aging aims to estimate aged facial textures given a certain face image. A number of 2D face-aging methods have been developed, but there few studies on 3D aging, which would be valuable in several real-world applications. The lack data has had significant impact the development we hypothesized that large amounts internet could leveraged for textures. In this paper, propose novel framework, call UV-transformation texture estimation based generative adversarial networks (UVTE-GAN),...

Image dehazing aims to remove haze in images improve their image quality. However, most methods heavily depend on strict prior knowledge and paired training strategy, which would hinder generalization performance when dealing with unseen scenes. In this paper, address the above problem, we propose Bidirectional Normalizing Flow (BiN-Flow), exploits no constructs a neural network through weakly-paired better for dehazing. Specifically, BiN-Flow designs 1) Feature Frequency Decoupling (FFD)...

Rice grading is an important topic in the research of food security, which targets at assessing quality rice. However, there seldom attention from researchers. In this paper, we propose a novel rice system, named as Deep-Rice, built upon deep learning framework. Specifically, Deep-Rice employs multi-view CNN architecture to extract discriminative features different views images, and tries optimize parameters by using modified softmax loss function. accompany with model, also build...

Shell–tube heat exchangers are commonly used equipment in large-scale industrial systems of wastewater exchange to reclaim the thermal energy generated during processes. However, internal surfaces exchanger tubes often accumulate fouling, which subsequently reduces their transfer efficiency. Therefore, regular cleaning is essential. We aim detect circle holes on end surface further achieve automated positioning and tubes. Notably, these exhibit a distribution. To this end, we propose...

Postoperative complications are adverse reactions caused by anesthesia and surgical trauma severely affect patients' recovery life. To reduce the risk of postoperative complications, complication prediction (PCP) has been proposed to predict probability various help physicians take interventions in advance. However, most existing work still depends on expensive labeled data scarcely utilizes unlabeled data, resulting limited performance. In this paper, we propose a novel framework named Raw,...

Rice grading has achieved raising attention in recent years for its importance food security, whereas progress is limited. The difficulty this topic says that the rice kernels are crowed visual field of, say a camera, which makes detection of single kernel hard. In paper, we based on newly designed streaming system and propose novel model. snapshots from three different directions, producing images kernel. FIST-Model analyses these by employing multi-view learning method minimizes...

Inadequate bounding box modeling in regression tasks constrains the performance of one-stage 3D object detection. Our study reveals that primary reason lies two aspects: (1) The limited center-offset prediction seriously impairs localization since many highest response positions significantly deviate from centers. (2) low-quality sample ignored impacts it produces unreliable quality (IoU) rectification. To tackle these problems, we propose Decoupled and Interactive Regression Modeling (DIRM)...

Person re-identification is a useful technique to automatically match observations of the same person cross different times and camera views. It attracts extensive attention researches in computer vision community because its application challenge. An effect way tackle problem learn distance metric from training examples. Then learned could be used for calculations between probe image images gallery. For real application, labeled samples usually increase gradually along time. To keep...

Visual servo control system (VSCS) is an indispensable ability for robots, which has become a hot topic in machine intelligence and attracts extensive attentions. While the enormous success been witnessed last years, however, there are still several essential challenges, such as visual detection error caused by unsatisfied accuracy of traditional algorithm, hysteresis expensive time-consuming deep learning. To address above issues, we propose novel framework based on light weight network...

Surface electromyography(sEMG)-based lower limb motion recognition has developed rapidly in a variety of applications and attracts extensive attentions. However, most existing work focuses on single recogition(SLLMR) ignores the importance unconstrained recognition(ULLMR). In this paper, we propose novel angle assisted annotation-based surface electromyography sequential labelling (A3-SESL) framework to solve ULLMR task. Specifically, A3-SESL is composed phase learning phase. term phase, due...