Papers Template Matching
“Template Matching” 태그가 달린 논문 219편 · 필터 해제
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning
Visual single object tracking aims to continuously localize and estimate the scale of a target in subsequent video frames, given only its initial state in the first frame. This task has traditionally been framed as a tem…
Object TrackingTemplate MatchingVisual Object TrackingVisual TrackingH-QuEST: Accelerating Query-by-Example Spoken Term Detection with Hierarchical Indexing
Query-by-example spoken term detection (QbE-STD) searches for matching words or phrases in an audio dataset using a sample spoken query. When annotated data is limited or unavailable, QbE-STD is often done using template…
Dynamic Time WarpingRepresentation LearningRetrievalTemplate MatchingDeep Learning-based Multi Project InP Wafer Simulation for Unsupervised Surface Defect Detection
Quality management in semiconductor manufacturing often relies on template matching with known golden standards. For Indium-Phosphide (InP) multi-project wafer manufacturing, low production scale and high design variabil…
Defect DetectionManagementTemplate MatchingThrough-the-Wall Radar Human Activity Recognition WITHOUT Using Neural Networks
After a few years of research in the field of through-the-wall radar (TWR) human activity recognition (HAR), I found that we seem to be stuck in the mindset of training on radar image data through neural network models. …
Activity RecognitionHuman Activity RecognitionTemplate MatchingDeepSync: A Learning Framework for Pervasive Localization using Code Synchronization on Compressed Cellular Spectrum
Pervasive localization is essential for continuous tracking applications, yet existing solutions face challenges in balancing power consumption and accuracy. GPS, while precise, is impractical for continuous tracking of …
Template MatchingClustering Internet Memes Through Template Matching and Multi-Dimensional Similarity
Meme clustering is critical for toxicity detection, virality modeling, and typing, but it has received little attention in previous research. Clustering similar Internet memes is challenging due to their multimodality, c…
ClusteringTemplate MatchingReal-Time Sleepiness Detection for Driver State Monitoring System
A driver face monitoring system can detect driver fatigue, which is a significant factor in many accidents, using computer vision techniques. In this paper, we present a real-time technique for driver eye state detection…
Template MatchingActive 6D Pose Estimation for Textureless Objects using Multi-View RGB Frames
Estimating the 6D pose of textureless objects from RBG images is an important problem in robotics. Due to appearance ambiguities, rotational symmetries, and severe occlusions, single-view based 6D pose estimators are sti…
6D Pose EstimationObjectPose EstimationTemplate MatchingA Hybrid Edge Classifier: Combining TinyML-Optimised CNN with RRAM-CMOS ACAM for Energy-Efficient Inference
In recent years, the development of smart edge computing systems to process information locally is on the rise. Many near-sensor machine learning (ML) approaches have been implemented to introduce accurate and energy eff…
Edge-computingTemplate MatchingDreamTrack: Dreaming the Future for Multimodal Visual Object Tracking
Aiming to achieve class-agnostic perception in visual object tracking, current trackers commonly formulate tracking as a one-shot detection problem with the template-matching architecture. Despite the success, severe…
Object TrackingTemplate MatchingVisual Object TrackingVisual TrackingBEST-STD: Bidirectional Mamba-Enhanced Speech Tokenization for Spoken Term Detection
Spoken term detection (STD) is often hindered by reliance on frame-level features and the computationally intensive DTW-based template matching, limiting its practicality. To address these challenges, we propose a novel …
MambaSelf-Supervised LearningSpeech TokenizationTemplate MatchingImage Matching Filtering and Refinement by Planes and Beyond
This paper introduces a modular, non-deep learning method for filtering and refining sparse correspondences in image matching. Assuming that motion flow within the scene can be approximated by local homography transforma…
Deep LearningTemplate MatchingA Counterexample in Cross-Correlation Template Matching
Sampling and quantization are standard practices in signal and image processing, but a theoretical understanding of their impact is incomplete. We consider discrete image registration when the underlying function is a on…
Image RegistrationQuantizationTemplate MatchingGesture2Text: A Generalizable Decoder for Word-Gesture Keyboards in XR Through Trajectory Coarse Discretization and Pre-training
Text entry with word-gesture keyboards (WGK) is emerging as a popular method and becoming a key interaction for Extended Reality (XR). However, the diversity of interaction modes, keyboard sizes, and visual feedback in t…
DecoderQuantizationTemplate MatchingMARs: Multi-view Attention Regularizations for Patch-based Feature Recognition of Space Terrain
The visual detection and tracking of surface terrain is required for spacecraft to safely land on or navigate within close proximity to celestial objects. Current approaches rely on template matching with pre-gathered pa…
AttributeMetric LearningNavigateTemplate MatchingA 9T4R RRAM-Based ACAM for Analogue Template Matching at the Edge
The continuous shift of computational bottlenecks to the memory access and data transfer, especially for AI applications, poses the urgent needs of re-engineering the computer architecture fundamentals. Many edge computi…
Edge-computingTemplate MatchingStutter-Solver: End-to-end Multi-lingual Dysfluency Detection
Current de-facto dysfluency modeling methods utilize template matching algorithms which are not generalizable to out-of-domain real-world dysfluencies across languages, and are not scalable with increasing amounts of tra…
object-detectionObject DetectionTemplate MatchingByCAN: Reverse Engineering Controller Area Network (CAN) Messages from Bit to Byte Level
As the primary standard protocol for modern cars, the Controller Area Network (CAN) is a critical research target for automotive cybersecurity threats and autonomous applications. As the decoding specification of CAN is …
Template MatchingTensorial template matching for fast cross-correlation with rotations and its application for tomography
Object detection is a main task in computer vision. Template matching is the reference method for detecting objects with arbitrary templates. However, template matching computational complexity depends on the rotation ac…
object-detectionObject DetectionTemplate MatchingEinstein from Noise: Statistical Analysis
``Einstein from noise" (EfN) is a prominent example of the model bias phenomenon: systematic errors in the statistical model that lead to spurious but consistent estimates. In the EfN experiment, one falsely believes tha…
Template Matching