1,503 Result(s)
within
**u Tao
Computer Science
Image Processing and Computer Vision
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Article
Towards Defending Multiple \(\ell _p\) -Norm Bounded Adversarial Perturbations via Gated Batch Normalization
There has been extensive evidence demonstrating that deep neural networks are vulnerable to adversarial examples, which motivates the development of defenses against adversarial attacks. Existing adversarial d...
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Research on image caption generation method based on multi-modal pre-training model and text mixup optimization
In recent years, multi-modal pre-training models have demonstrated remarkable cross-modal representation capabilities, catalyzing the rapid evolution of multi-modal downstream tasks, particularly in image capt...
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EEA-Net: edge-enhanced assistance network for infrared small target detection
With the development of deep learning, the performance of infrared small target detection (IRSTD) has been significantly improved. A precise shape of the target edge is crucial for segmenting small infrared ta...
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Alternate inference-decision reinforcement learning with generative adversarial inferring for bridge bidding
Contract bridge is a competitive-cooperative multiplayer game. In the bidding phase, the decision-making process is complex, given the extensive range of inaccessible information from the partner and opponents...
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A real-time multiple tunneling parameter prediction method of TBM steady phase based on dual recurrent neural networks
Due to the uncertainty of geological conditions during the tunneling process, advanced prediction of TBM tunneling parameters is significant for evaluating operational safety and efficiency, especially for rea...
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GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions
Image restoration in adverse weather conditions is a difficult task in computer vision. In this paper, we propose a novel transformer-based framework called GridFormer which serves as a backbone for image rest...
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YOLO-MTG: a lightweight YOLO model for multi-target garbage detection
With wide adoption of deep learning technology in AI, intelligent garbage detection has become a hot research topic. However, existing datasets currently used for garbage detection rarely involves multi-catego...
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Joint super-resolution-based fast face image coding for human and machine vision
As the Internet of Things continues to grow and thrive, more and more data are consumed by machines for intelligent analysis. How to simultaneously support fast machine vision analysis and obtain high-quality ...
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Judgmentally adjusted Q-values based on Q-ensemble for offline reinforcement learning
Recent advancements in offline reinforcement learning (offline RL) have leveraged the Q-ensemble approach to derive optimal policies from static datasets collected in the past. By increasing the batch size, a ...
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Semi-supervised Kernel Fisher discriminant analysis based on exponential-adjusted geometric distance
Fisher discriminant analysis (FDA) is a widely used dimensionality reduction tool in pattern recognition. However, FDA cannot obtain an optimal subspace for classification without sufficient labeled samples. T...
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ALP-Net: a segmentation-free approach for license plate recognition in unconstrained scenarios
License plate recognition technology is of paramount importance in intelligent transportation. While ideal scenario license plate recognition technology has gradually matured, traditional methods still exhibit...
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Face photo-sketch portraits transformation via generation pipeline
Portrait sketching is widely used in digital art, forensic security and other fields with its unique value. However, existing portrait sketch style transfer techniques often focus on overall style transformati...
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Residual feature learning with hierarchical calibration for gaze estimation
Gaze estimation aims to predict accurate gaze direction from natural eye images, which is an extreme challenging task due to both random variations in head pose and person-specific biases. Existing works often...
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Residual Graph Convolution Collaborative Filtering with Asymmetric neighborhood aggregation
Due to the superior performance of graph convolutional networks (GCNs) in feature extraction and representation, researchers have introduced GCNs to collaborative filtering (CF) to improve the accuracy of reco...
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Convex–Concave Tensor Robust Principal Component Analysis
Tensor robust principal component analysis (TRPCA) aims at recovering the underlying low-rank clean tensor and residual sparse component from the observed tensor. The recovery quality heavily depends on the de...
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Low-overlap point cloud registration algorithm based on coupled iteration
We present BC-PCNet, a Point Cloud registration model based on Bidirectional Coupled iteration. The proposed model addresses the challenge of registering point clouds with low overlap. We introduce a new supervis...
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Foreign object detection for transmission lines based on Swin Transformer V2 and YOLOX
Suspended foreign objects on transmission lines will shorten the discharge distance, easily leading to phase-to-ground or phase-to-phase short circuits, which induces outage accidents. Foreign objects are smal...
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Diagram Perception Networks for Textbook Question Answering via Joint Optimization
Textbook question answering requires a system to answer questions with or without diagrams accurately, given multimodal contexts that include rich paragraphs and diagrams. Existing methods usually utilize a pi...
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Robust Unpaired Image Dehazing via Density and Depth Decomposition
To overcome the overfitting issue of dehazing models trained on synthetic hazy-clean image pairs, recent methods attempt to boost the generalization ability by training on unpaired data. However, most of exist...
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An effective masked transformer network for image denoising
The rising popularity of employing deep learning networks for image denoising can be observed over the past decade. Typically, their exceptional performance is rooted in their ability to learn the map** from...
