5,074 Result(s)
within
**li Zhang
English
Image Processing and Computer Vision
Pattern Recognition
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Article
Event-Driven Heterogeneous Network for Video Deraining
Restoring clear frames from rainy videos poses a significant challenge due to the swift motion of rain streaks. Traditional frame-based visual sensors, which record dense scene content synchronously, struggle ...
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HVDistill: Transferring Knowledge from Images to Point Clouds via Unsupervised Hybrid-View Distillation
We present a hybrid-view-based knowledge distillation framework, termed HVDistill, to guide the feature learning of a point cloud neural network with a pre-trained image network in an unsupervised manner. By e...
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Intelligent AUV Surfacing Control in Network Attack Scenario
Autonomous Underwater Vehicle (AUV) have become an important tool for humans to explore the ocean. The evolution of AUV is trending towards clustering. At present, research on the intelligent control strategy ...
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Self-Organizing Key Security Management Algorithm in Socially Aware Networking
In socially aware networking, encryption algorithms are used in privacy-preserving algorithms to provide security for the nodes. However, the shared key lacks certain security management during transmission, w...
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Adversarial defence by learning differentiated feature representation in deep ensemble
Deep learning models have been shown to be vulnerable to critical attacks under adversarial conditions. Attackers are able to generate powerful adversarial examples by searching for adversarial perturbations, ...
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FD-GAN: Generalizable and Robust Forgery Detection via Generative Adversarial Networks
Generalization across various forgeries and robustness against corruption are pressing challenges of forgery detection. Although previous works boost generalization with the help of data augmentations, they ra...
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Open-Vocabulary Animal Keypoint Detection with Semantic-Feature Matching
Current image-based keypoint detection methods for animal (including human) bodies and faces are generally divided into fully supervised and few-shot class-agnostic approaches. The former typically relies on l...
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HybridPrompt: Domain-Aware Prompting for Cross-Domain Few-Shot Learning
Cross-Domain Few-Shot Learning (CD-FSL) aims at recognizing unseen classes from target domains that vastly differ from training classes from source domains, utilizing only a few labeled samples. However, the s...
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Learning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake Detection
The deepfake threats to society and cybersecurity have provoked significant public apprehension, driving intensified efforts within the realm of deepfake video detection. Current video-level methods are mostly...
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Single-Temporal Supervised Learning for Universal Remote Sensing Change Detection
Bitemporal supervised learning paradigm always dominates remote sensing change detection using numerous labeled bitemporal image pairs, especially for high spatial resolution (HSR) remote sensing imagery. Howe...
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Inter-feature Relationship Certifies Robust Generalization of Adversarial Training
Whilst adversarial training has been shown as a promising wisdom to promote model robustness in computer vision and machine learning, adversarially trained models often suffer from poor robust generalization o...
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Deep learning based insulator fault detection algorithm for power transmission lines
Aiming at the complex background of transmission lines at the present stage, which leads to the problem of low accuracy of insulator fault detection for small targets, a deep learning-based insulator fault det...
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MFMANet: a multispectral pedestrian detection network using multi-resolution RGB feature reuse with multi-scale FIR attentions
In the realm of multispectral pedestrian detection, especially under challenging low-illumination, the existing methods, characterized by cross-modality feature interaction, lack generalization and are hard to...
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LightYOLO-S: a lightweight algorithm for detecting small targets
Small target detection tasks are the focus and difficulty of target detection tasks. Methods to improve detection accuracy are often accompanied by drawbacks, such as a high number of parameters, computational...
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Towards Robust Semantic Segmentation against Patch-Based Attack via Attention Refinement
The attention mechanism has been proven effective on various visual tasks in recent years. In the semantic segmentation task, the attention mechanism is applied in various methods, including the case of both c...
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Correction: HCLR-Net: Hybrid Contrastive Learning Regularization with Locally Randomized Perturbation for Underwater Image Enhancement
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ARF-YOLOv8: a novel real-time object detection model for UAV-captured images detection
There are several difficulties in the task of object detection for Unmanned Aerial Vehicle (UAV) photography images, including the small size of objects, densely distributed objects, and diverse perspectives f...
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ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection
With the rapid development of depth sensor, more and more RGB-D videos could be obtained. Identifying the foreground in RGB-D videos is a fundamental and important task. However, the existing salient object de...
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CLIP-guided Prototype Modulating for Few-shot Action Recognition
Learning from large-scale contrastive language-image pre-training like CLIP has shown remarkable success in a wide range of downstream tasks recently, but it is still under-explored on the challenging few-shot...
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Grounded Affordance from Exocentric View
Affordance grounding aims to locate objects’ “action possibilities” regions, an essential step toward embodied intelligence. Due to the diversity of interactive affordance, i.e., the uniqueness of different indiv...
