Papers Keypoint Detection
“Keypoint Detection” 태그가 달린 논문 391편 · 필터 해제
Automatic Temporal Segmentation for Post-Stroke Rehabilitation: A Keypoint Detection and Temporal Segmentation Approach for Small Datasets
Rehabilitation is essential and critical for post-stroke patients, addressing both physical and cognitive aspects. Stroke predominantly affects older adults, with 75% of cases occurring in individuals aged 65 and older, …
Keypoint DetectionRewards-based image analysis in microscopy
Analyzing imaging and hyperspectral data is crucial across scientific fields, including biology, medicine, chemistry, and physics. The primary goal is to transform high-resolution or high-dimensional data into an interpr…
Decision MakingDenoisingDimensionality ReductionImage Segmentation+32.5D U-Net with Depth Reduction for 3D CryoET Object Identification
Cryo-electron tomography (cryoET) is a crucial technique for unveiling the structure of protein complexes. Automatically analyzing tomograms captured by cryoET is an essential step toward understanding cellular structure…
Electron TomographyKeypoint DetectionTransfer Learning for Keypoint Detection in Low-Resolution Thermal TUG Test Images
This study presents a novel approach to human keypoint detection in low-resolution thermal images using transfer learning techniques. We introduce the first application of the Timed Up and Go (TUG) test in thermal image …
Computational EfficiencyDecoderKeypoint DetectionTransfer LearningVideo-based Surgical Tool-tip and Keypoint Tracking using Multi-frame Context-driven Deep Learning Models
Automated tracking of surgical tool keypoints in robotic surgery videos is an essential task for various downstream use cases such as skill assessment, expertise assessment, and the delineation of safety zones. In recent…
Deep LearningKeypoint DetectionKeypoint Detection Empowered Near-Field User Localization and Channel Reconstruction
In the near-field region of an extremely large-scale multiple-input multiple-output (XL MIMO) system, channel reconstruction is typically addressed through sparse parameter estimation based on compressed sensing (CS) alg…
compressed sensingKeypoint Detectionparameter estimationMIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matching
Many keypoint detection and description methods have been proposed for image matching or registration. While these methods demonstrate promising performance for single-modality image matching, they often struggle with mu…
Keypoint DetectionZero-shot GeneralizationRefinement Module based on Parse Graph of Feature Map for Human Pose Estimation
The parse graph play a crucial role in enhancing the performance of human pose estimation (HPE). Its key advantage lies in its hierarchical structure, like a tree structure, and context relations among nodes, which enabl…
Keypoint DetectionPose EstimationCorn Ear Detection and Orientation Estimation Using Deep Learning
Monitoring growth behavior of maize plants such as the development of ears can give key insights into the plant's health and development. Traditionally, the measurement of the angle of ears is performed manually, which c…
Deep LearningKeypoint DetectionEnhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential Information
Scene Coordinate Regression (SCR) is a visual localization technique that utilizes deep neural networks (DNN) to directly regress 2D-3D correspondences for camera pose estimation. However, current SCR methods often face …
Camera Pose EstimationComputational EfficiencyKeypoint DetectionPose Estimation+1ZeroKey: Point-Level Reasoning and Zero-Shot 3D Keypoint Detection from Large Language Models
We propose a novel zero-shot approach for keypoint detection on 3D shapes. Point-level reasoning on visual data is challenging as it requires precise localization capability, posing problems even for powerful models like…
Keypoint DetectionMeasure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything
We present Measure Anything, a comprehensive vision-based framework for dimensional measurement of objects with circular cross-sections, leveraging the Segment Anything Model (SAM). Our approach estimates key geometric f…
Keypoint DetectionRobotic GraspingMamKPD: A Simple Mamba Baseline for Real-Time 2D Keypoint Detection
Real-time 2D keypoint detection plays an essential role in computer vision. Although CNN-based and Transformer-based methods have achieved breakthrough progress, they often fail to deliver superior performance and real-t…
Animal Pose EstimationGPUKeypoint DetectionMamba+1Edge Weight Prediction For Category-Agnostic Pose Estimation
Category-Agnostic Pose Estimation (CAPE) localizes keypoints across diverse object categories with a single model, using one or a few annotated support images. Recent works have shown that using a pose graph (i.e., treat…
2D Pose EstimationAnimal Pose EstimationCar Pose EstimationCategory-Agnostic Pose Estimation+3OCDet: Object Center Detection via Bounding Box-Aware Heatmap Prediction on Edge Devices with NPUs
Real-time object localization on edge devices is fundamental for numerous applications, ranging from surveillance to industrial automation. Traditional frameworks, such as object detection, segmentation, and keypoint det…
Keypoint DetectionObjectobject-detectionObject Detection+1IoT-Based 3D Pose Estimation and Motion Optimization for Athletes: Application of C3D and OpenPose
This study proposes the IoT-Enhanced Pose Optimization Network (IE-PONet) for high-precision 3D pose estimation and motion optimization of track and field athletes. IE-PONet integrates C3D for spatiotemporal feature extr…
3D Pose EstimationBayesian OptimizationData IntegrationKeypoint Detection+2Silver medal Solution for Image Matching Challenge 2024
Image Matching Challenge 2024 is a competition focused on building 3D maps from diverse image sets, requiring participants to solve fundamental computer vision challenges in image matching across varying angles, lighting…
Keypoint DetectionKptLLM: Unveiling the Power of Large Language Model for Keypoint Comprehension
Recent advancements in Multimodal Large Language Models (MLLMs) have greatly improved their abilities in image understanding. However, these models often struggle with grasping pixel-level semantic details, e.g., the key…
Keypoint DetectionLanguage ModelingLanguage ModellingLarge Language ModelFrom Web Data to Real Fields: Low-Cost Unsupervised Domain Adaptation for Agricultural Robots
In precision agriculture, vision models often struggle with new, unseen fields where crops and weeds have been influenced by external factors, resulting in compositions and appearances that differ from the learned distri…
Domain AdaptationKeypoint Detectionobject-detectionObject Detection+1Facial Chick Sexing: An Automated Chick Sexing System From Chick Facial Image
Chick sexing, the process of determining the gender of day-old chicks, is a critical task in the poultry industry due to the distinct roles that each gender plays in production. While effective traditional methods achiev…
Gender ClassificationKeypoint Detection