Papers Position regression
“Position regression” 태그가 달린 논문 16편 · 필터 해제
Delta-Position Estimation-Based IMU Odometry: A Comparison of MLP and Kolmogorov-Arnold Networks
In this study, the learning-based inertial odometry problem is investigated using raw IMU measurements obtained from the EuRoC MAV benchmark dataset. Instead of absolute position regression-a formulation that may lead to…
Position regressionMonocular Person Localization under Camera Ego-motion
Localizing a person from a moving monocular camera is critical for Human-Robot Interaction (HRI). To estimate the 3D human position from a 2D image, existing methods either depend on the geometric assumption of a fixed c…
Pose EstimationPositionPosition regressionBlock-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked Autoencoders
Point clouds, as a primary representation of 3D data, can be categorized into scene domain point clouds and object domain point clouds based on the modeled content. Masked autoencoders (MAE) have become the mainstream pa…
ObjectPosition regressionSelf-Supervised LearningCHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
Advances in graph machine learning (ML) have been driven by applications in chemistry as graphs have remained the most expressive representations of molecules. While early graph ML methods focused primarily on small orga…
Atomic number classificationBenchmarkingCrystal system classificationDistance regression+9Improving Vision-and-Language Reasoning via Spatial Relations Modeling
Visual commonsense reasoning (VCR) is a challenging multi-modal task, which requires high-level cognition and commonsense reasoning ability about the real world. In recent years, large-scale pre-training approaches have …
Position regressionRelationRelation ClassificationVisual Commonsense Reasoning+1TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction
When deep neural network has been proposed to assist the dentist in designing the location of dental implant, most of them are targeting simple cases where only one missing tooth is available. As a result, literature wor…
DecoderPositionPosition regressionregressionTwo-Stream Regression Network for Dental Implant Position Prediction
In implant prosthesis treatment, the design of the surgical guide heavily relies on the manual location of the implant position, which is subjective and prone to doctor's experiences. When deep learning based methods has…
PositionPosition regressionPredictionregressionOnline Transformers with Spiking Neurons for Fast Prosthetic Hand Control
Transformers are state-of-the-art networks for most sequence processing tasks. However, the self-attention mechanism often used in Transformers requires large time windows for each computation step and thus makes them le…
Position regressionPosition Regression for Unsupervised Anomaly Detection
In recent years, anomaly detection has become an essential field in medical image analysis. Most current anomaly detection methods for medical images are based on image reconstruction. In this work, we propose a novel an…
Anomaly DetectionImage ReconstructionMedical Image AnalysisPosition+3ImplantFormer: Vision Transformer based Implant Position Regression Using Dental CBCT Data
Implant prosthesis is the most appropriate treatment for dentition defect or dentition loss, which usually involves a surgical guide design process to decide the implant position. However, such design heavily relies on t…
DecoderPositionPosition regressionregressionSD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors
Optical coherence tomography (OCT) is a non-invasive 3D modality widely used in ophthalmology for imaging the retina. Achieving automated, anatomically coherent retinal layer segmentation on OCT is important for the dete…
Position regressionSegmentationDenoised MDPs: Learning World Models Better Than the World Itself
The ability to separate signal from noise, and reason with clean abstractions, is critical to intelligence. With this ability, humans can efficiently perform real world tasks without considering all possible nuisance fac…
Position regressionReinforcement Learning (RL)Representation LearningMobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image
In this work, we propose a framework for single-view hand mesh reconstruction, which can simultaneously achieve high reconstruction accuracy, fast inference speed, and temporal coherence. Specifically, for 2D encoding, w…
3D Hand Pose EstimationCPUPositionPosition regression+1Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images
Deep learning networks have shown promising performance for accurate object localization in medial images, but require large amount of annotated data for supervised training, which is expensive and expertise burdensome. …
Contrastive LearningObject LocalizationPositionPosition regression+2A Locating Model for Pulmonary Tuberculosis Diagnosis in Radiographs
Objective: We propose an end-to-end CNN-based locating model for pulmonary tuberculosis (TB) diagnosis in radiographs. This model makes full use of chest radiograph (X-ray) for its improved accessibility, reduced cost an…
DiagnosticPosition regressionSource-Target Inference Models for Spatial Instruction Understanding
Models that can execute natural language instructions for situated robotic tasks such as assembly and navigation have several useful applications in homes, offices, and remote scenarios. We study the semantics of spatial…
PositionPosition regressionregressionRepresentation Learning