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Found 15 papers, 1 papers with code
GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning
In this paper, we propose a large-scale, diverse, and fine-grained high-fidelity dataset, namely GenFace, to facilitate the advancement of deepfake detection, which contains a large number of forgery faces generated by advanced generators such as the diffusion-based model and more detailed labels about the manipulation approaches and adopted generators.
Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery
A set of rewards measuring the localization accuracy, the accuracy of predicted labels, and the scale consistency among nearby patches are designed in the agent to guide the scale optimization.
Multi-View Spectrogram Transformer for Respiratory Sound Classification
Deep neural networks have been applied to audio spectrograms for respiratory sound classification.
Mask Attack Detection Using Vascular-weighted Motion-robust rPPG Signals
Detecting 3D mask attacks to a face recognition system is challenging.
Video Question Answering Using CLIP-Guided Visual-Text Attention
Specifically, we first extract video features using a TimeSformer and text features using a BERT from the target application domain, and utilize CLIP to extract a pair of visual-text features from the general-knowledge domain through the domain-specific learning.
Boosting the Discriminant Power of Naive Bayes
In this paper, we propose a feature augmentation method employing a stack auto-encoder to reduce the noise in the data and boost the discriminant power of naive Bayes.
A Max-relevance-min-divergence Criterion for Data Discretization with Applications on Naive Bayes
Thus, we propose a Max-Dependency-Min-Divergence (MDmD) criterion that maximizes both the discriminant information and generalization ability of the discretized data.
Dynamic Texture Recognition using PDV Hashing and Dictionary Learning on Multi-scale Volume Local Binary Pattern
To tackle this problem, we propose a method for dynamic texture recognition using PDV hashing and dictionary learning on multi-scale volume local binary pattern (PHD-MVLBP).
Two-stage Rule-induction Visual Reasoning on RPMs with an Application to Video Prediction
Based on the two intrinsic natures of RPM problem, visual recognition and logical reasoning, we propose a Two-stage Rule-Induction Visual Reasoner (TRIVR), which consists of a perception module and a reasoning module, to tackle the challenges of real-world visual recognition and subsequent logical reasoning tasks, respectively.
Attention-based Dual-stream Vision Transformer for Radar Gait Recognition
Radar gait recognition is robust to light variations and less infringement on privacy.
Spatial-context-aware deep neural network for multi-class image classification
Multi-label image classification is a fundamental but challenging task in computer vision.
Human Activity Recognition Using 3D Orthogonally-projected EfficientNet on Radar Time-Range-Doppler Signature
In radar activity recognition, 2D signal representations such as spectrogram, cepstrum and cadence velocity diagram are often utilized, while range information is often neglected.
A Semi-Supervised Adaptive Discriminative Discretization Method Improving Discrimination Power of Regularized Naive Bayes
Data discretization is important in naive Bayes.
Data augmentation by morphological mixup for solving Raven's Progressive Matrices
Raven's Progressive Matrices (RPMs) are frequently used in testing human's visual reasoning ability.
Analytics and Machine Learning in Vehicle Routing Research
The Vehicle Routing Problem (VRP) is one of the most intensively studied combinatorial optimisation problems for which numerous models and algorithms have been proposed.
