Given a pair of facial images, it is an interesting yet challenging problem to determine if there kin relation between them. Recent research on that topic has made encouraging progress by learning similarity metric from kinship data. However, most the existing algorithms cannot handle hard samples very well, i.e., some ambiguous test pairs be well classified due compounding factors, such as large age gap or gender difference parents and children. To address this, we propose Adversarial...

Atmospheric nitrogen deposition is a vital component of the global cycle, with significant implications for ecosystem health, pollution mitigation, and sustainable development. In Pearl River Delta (PRD) region China, high levels ammonium (NHx) wet deposition, driven by abundant precipitation intensive anthropogenic activities, pose challenges to ecological balance environmental sustainability. However, accurately estimating NHx flux hindered complexity processes spatial heterogeneity in...

Recently, a deep representation of facial depression built on convolutional neural networks has shown impressive performance in video‐based recognition. However, most existing approaches either fix the weights or using certain heuristics to integrate frame‐level features, resulting suboptimal feature aggregation encoding helpful while discarding noisy information videos. To address this issue, authors introduce memory attention mechanism regression network learn discriminative...

Abnormal-trajectory detection can be used to detect fraudulent behavior by taxi drivers when carrying passengers. Existing methods usually abnormal trajectories based on the characteristics of “few and different”, which require large data sets and, therefore, may identify near” chosen according their driving experience as situations. This study proposed an abnormal-trajectory method a variable grid address this problem. First, urban road network was divided into three regions: high-,...

Recommender Systems are built to retrieve relevant items satisfy users' information needs. The candidate corpus usually consists of a finite set that ready be served, such as videos, products, or articles. With recent advances in Generative AI GPT and Diffusion models, new form recommendation task is yet explored where created by generative models with personalized prompts. Taking image generation an example, single prompt from the user access model, it possible generate hundreds images few...

Although the latest object detection methods have demonstrated strong performance on large-scale comprehensive datasets, various adverse lighting conditions limit their potential application in real-world scenarios, especially deployment mobile robots. In this study, we propose a novel and lightweight re-illumination framework for end-to-end adaptive enhancement images. Specifically, employ set of differentiable image processing modules pixel-wise curve parameter mapping to adapt conditions....

Few-shot segmentation aims to train a model that can fast adapt novel task for which only few annotated images are provided. Most recent models have adopted prototype-based paradigm few-shot inference. These approaches may limited generalization capacity beyond the standard 1- or 5-shot settings. In this paper, we closely examine and reevaluate fine-tuning based learning scheme fine-tunes classification layer of deep network pre-trained on diverse base classes. To improve generalizability...

Regular expression matching based on FPGA has been widely used in many fields due to its high efficiency. However, hardware resources are limited, so it is necessary optimize the utilization of circuit by minimizing number components and memory resources. When regular repeated qualification rules range rules, syntax tree generated Mcnaughton's MY algorithm too long, resulting mapped structure being complex. An improved list storage presented, which can effectively solve resource waste caused...

5G Non-Public-Network (NPN) is increasingly ap-plied in the vertical industry, and there are still several related functionality deployment requirements need to be solved. In this paper, we present a testbed of our proposed blockchain-enabled NPN architecture for along with an construction scheme based on cloud containerization technique meet demand. Blockchain's openness transparency can provide trusted data sharing environment different stakeholders, its smart contract implement flexible...

Big data is a group with huge amount of that cannot be easily captured, managed and processed in certain time. The paper concerns the development big food industry, introduces overview data, discusses three mining technologies, outlines its potential value management.

Incorporating depth information into RGB images has proven its effectiveness in semantic segmentation. The multi-modal feature fusion, which integrates and features, is a crucial component determining segmentation accuracy. Most existing fusion schemes enhance features via channel-wise attention modules leverage global context information. In this work, we propose novel pyramid-context guided (PCGF) module to fully exploit the complementary from features. proposed PCGF utilizes both local...

Diffusion models excel at generating high-quality images and are easy to extend, making them extremely popular among active users who have created an extensive collection of diffusion with various styles by fine-tuning base such as Stable Diffusion. Recent work has focused on uncovering semantic visual information encoded in components a model, enabling better generation quality more fine-grained control. However, those methods target improving single model overlook the vastly available...

The core network plays an important role of control-ling hub in the mobile communication system, which is responsi-ble for user equipment's registration, authentication and session establishment. In order to meet demand 5G, Service-based Architecture proposed by 3GPP, featuring functions with Interface. Driven increasingly diversified application scenarios, future system needs support connection integration wide-area distributed heterogeneous devices become more open. Meanwhile, it also...