Samba: Semantic segmentation of remotely sensed images with state space model
High-resolution remotely sensed images pose challenges to traditional semantic
segmentation networks, such as Convolutional Neural Networks (CNNs) and Vision …
segmentation networks, such as Convolutional Neural Networks (CNNs) and Vision …
Eye diseases detection using deep learning with BAM attention module
With the changing lifestyle, a large population suffers from eye diseases such as glaucoma,
cataract, and diabetic retinopathy. Therefore, timely detection and classification of the …
cataract, and diabetic retinopathy. Therefore, timely detection and classification of the …
Facial expression recognition based on improved depthwise separable convolutional network
H Huo, YL Yu, ZH Liu - Multimedia Tools and Applications, 2023 - Springer
A single network model can't extract more complex and rich effective features. Meanwhile,
the network structure is usually huge, and there are many parameters and consume more …
the network structure is usually huge, and there are many parameters and consume more …
A transfer learning-based brain tumor classification using magnetic resonance images
The brain is one of the most important and complex organs responsible for controlling the
functions of the human body. Brain tumors are among the most lethal malignancies in the …
functions of the human body. Brain tumors are among the most lethal malignancies in the …
Child Psychological Drawing Pattern Detection on OBGET Dataset, a case study on accuracy Based on MYOLO v5 and MResNet 50
The interpretation of drawing psychological data is amazing, and they behave differently in
various situations like age. This research compares different deep learning methods and …
various situations like age. This research compares different deep learning methods and …
[HTML][HTML] Cloud IaaS Optimization Using Machine Vision at the IoT Edge and the Grid Sensing Algorithm
Security grids consisting of High-Definition (HD) Internet of Things (IoT) cameras are gaining
popularity for organizational perimeter surveillance and security monitoring. Transmitting HD …
popularity for organizational perimeter surveillance and security monitoring. Transmitting HD …
ADOSMNet: a novel visual affordance detection network with object shape mask guided feature encoders
Visual affordance detection aims to understand the functional attributes of objects, which is
crucial for robots to achieve interactive tasks. Most existing affordance detection methods …
crucial for robots to achieve interactive tasks. Most existing affordance detection methods …
Multi-view stereo algorithms based on deep learning: a survey
H Huang, X Yan, Y Zheng, J He, L Xu, D Qin - Multimedia Tools and …, 2024 - Springer
Abstract Multi-View Stereo (MVS) is a long-standing and fundamental task in computer
vision, which aims to reconstruct the 3D geometry of a scene from a set of overlapping …
vision, which aims to reconstruct the 3D geometry of a scene from a set of overlapping …
HDL-PI: hybrid DeepLearning technique for person identification using multimodal finger print, iris and face biometric features
SB Jadhav, NK Deshmukh, VT Humbe - Multimedia Tools and …, 2023 - Springer
Due of its uniqueness, biometric technologies are employed for security and access control
in today's digital world. Global demand for biometric technology has led to the development …
in today's digital world. Global demand for biometric technology has led to the development …
Frn: fusion and recalibration network for low-light image enhancement
This paper proposes a Fusion and Recalibration Network (FRN) for low-light image
enhancement. Firstly, The proposed method generates multi-exposure images from a single …
enhancement. Firstly, The proposed method generates multi-exposure images from a single …