Search
Search Results
-
Advancing Incremental Few-Shot Semantic Segmentation via Semantic-Guided Relation Alignment and Adaptation
Incremental few-shot semantic segmentation aims to extend a semantic segmentation model to novel classes according to only a few labeled data, while...
-
From Skulls to Faces: A Deep Generative Framework for Realistic 3D Craniofacial Reconstruction
The shape of the human face is largely determined by the underlying skull morphology. Craniofacial reconstruction (CfR), or the process of...
-
Super-Resolution-Assisted Feature Refined Extraction for Small Objects in Remote Sensing Images
Despite achieving impressive results in object detection in natural scenes, the task of object detection in remote sensing images is still full of...
-
A Detail-Guided Multi-source Fusion Network for Remote Sensing Object Detection
Optical and synthetic aperture radar (SAR) remote sensing have established themselves as valuable tools for object detection. Optical images exhibit...
-
Dive into Coarse-to-Fine Strategy in Single Image Deblurring
The coarse-to-fine approach has gained significant popularity in the design of networks for single image deblurring. Traditional methods used to...
-
Audio-Visual Segmentation by Leveraging Multi-scaled Features Learning
Audio-visual segmentation with semantics (AVSS) is an advanced approach that enriches Audio-visual segmentation (AVS) by incorporating object...
-
LigCDnet:Remote Sensing Image Cloud Detection Based on Lightweight Framework
Cloud contamination is inevitable in remote sensing images, resulting in a large number of images that cannot be applied in various fields....
-
Multi-scale Decomposition Dehazing with Polarimetric Vision
In this paper, the problem of simultaneous image dehazing of near and far scenes in hazy weather is addressed. We propose the multi-scale...
-
FGENet: Fine-Grained Extraction Network for Congested Crowd Counting
Crowd counting has gained significant popularity due to its practical applications. However, mainstream counting methods ignore precise individual...
-
A Region Based Non-overlap** Reference Speech Estimation Method for Speaker Extraction
Speaker extraction is a technique that separates the target speech from multi-talker mixtures using a priori information about the target speaker,...
-
Multi-task Collaborative Network for Image-Text Retrieval
Image-text retrieval aims to capture semantic relevance between images and texts. Most existing approaches rely solely on the image-text pairs to...
-
Performance Analysis of Web Server Side Reactive Programming
The traditional imperative programming paradigm at web server side encounters some performance limitations when handling lots of concurrent requests....
-
Application of MED-TET to Feature Extraction of Vibration Signals
Vibration signal reflects the operation status of the equipment. It is widely used in the field of mechanical fault diagnosis. However, the weak...
-
Analysis of Weld Pool Characteristics in Narrow Gap GTAW Welding Based on Passive Vision
In the process of narrow gap pipeline welding, the welding quality can be controlled and judged by the characteristic information of the weld pool....
-
Develo** Online Research Skills in a Lower Secondary School: The Viewpoint of Students
This study explored lower secondary school students’ perspectives on learning online research skills. The aim was to investigate how the students...
-
DiveXplore at the Video Browser Showdown 2024
According to our experience from VBS2023 and the feedback from the IVR4B special session at CBMI2023, we have largely revised the diveXplore system...
-
A Secure and Fair Federated Learning Protocol Under the Universal Composability Framework
Federated learning is a paradigm of distributed machine learning that enables multiple participants to collaboratively train a global model while...
-
Co-speech Gesture Generation with Variational Auto Encoder
The research field of generating natural gestures from speech input is called co-speech gesture generation. Co-speech generation methods should...
-
SEAS-Net: Segment Exchange Augmentation for Semi-supervised Brain Tumor Segmentation
Accurate segmentation of brain tumors is crucial for cancer diagnosis, treatment planning, and evaluation. However, semi-supervised brain tumor image...
-
Sustainable Commercial Fishery Control Using Multimedia Forensics Data from Non-trusted, Mobile Edge Nodes
Uncontrolled over-fishing has been exemplified by the UN as a serious ecological challenge and a major threat to sustainable food supplies. Emerging...