Browse State-of-the-Art › Template Matching
Template Matching
64 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Template matching is a technique that is used to find a subimage or a patch (called the template) within a larger image. The basic idea behind template matching is to slide the template image over the larger image and compare the template to each portion of the larger image to determine the similarity between the template and the corresponding portion of the larger image.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
No dataset record in the archive lists this task.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
30 shown of 64 papers with code (219 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
-
16 Jan 2018 5 repositories listed Syntology ran 0 of 1 samples · 1 unverifiedWe propose a deep learning-based solution for the problem of feature learning in one-class classification.
-
3 Jun 2018 3 repositories listedThe most common approaches to instance segmentation are complex and use two-stage networks with object proposals, conditional random-fields, template matching or recurrent neural networks.
-
31 Mar 2022 2 repositories listedIt relies on a small set of training objects to learn local object representations, which allow us to locally match the input image to a set of "templates", rendered images of the CAD models for the new objects.
-
10 May 2021 2 repositories listed Syntology ran 3 of 9 samples · 6 unverifiedHuman pose estimation is a major computer vision problem with applications ranging from augmented reality and video capture to surveillance and movement tracking.
-
26 Mar 2021 2 repositories listedIn order to roundly evaluate our proposed method as well as boost the future research, we release a new dataset named WildReceipt, which is collected and annotated tailored for the evaluation of key information…
-
13 Dec 2020 2 repositories listedTo address this problem, we present a one-shot framework for organ and landmark localization in volumetric medical images, which does not need any annotation during the training stage and could be employed to locate any…
-
21 Aug 2020 2 repositories listedThe crucial step for localization is to match the current observation to the map.
-
15 Sep 2019 2 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)In this work, we propose a novel gradient-guided network to exploit the discriminative information in gradients and update the template in the siamese network through feed-forward and backward operations.
-
21 Jul 2019 2 repositories listedThe framework leverages the idea of obtaining additional object templates during the tracking process.
-
18 Mar 2019 2 repositories listed Syntology ran 0 of 5 samples · 5 unverifiedFinding a template in a search image is one of the core problems many computer vision, such as semantic image semantic, image-to-GPS verification \etc.
-
18 Oct 2018 2 repositories listedWe, thus, define a stochastic distance transform (SDT), which has an adjustable robustness to noise.
-
27 Apr 2018 2 repositories listedWe propose a texture template approach, consisting of a set of virtual minutiae, to improve the overall latent fingerprint recognition accuracy.
-
24 Nov 2016 2 repositories listed Syntology ran 0 of 8 samples · 8 unverifiedMost contemporary approaches to instance segmentation use complex pipelines involving conditional random fields, recurrent neural networks, object proposals, or template matching schemes.
-
27 Jun 2025 1 repository listedVisual 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.
-
5 Jun 2025 1 repository listedAfter 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.
-
30 Apr 2025 1 repository listedMeme clustering is critical for toxicity detection, virality modeling, and typing, but it has received little attention in previous research.
-
21 Nov 2024 1 repository listedSpoken term detection (STD) is often hindered by reliance on frame-level features and the computationally intensive DTW-based template matching, limiting its practicality.
-
14 Nov 2024 1 repository listedThis paper introduces a modular, non-deep learning method for filtering and refining sparse correspondences in image matching.
-
7 Oct 2024 1 repository listedThe visual detection and tracking of surface terrain is required for spacecraft to safely land on or navigate within close proximity to celestial objects.
-
27 Feb 2024 1 repository listedIn many image processing applications (e.
-
28 Dec 2023 1 repository listedWe present ARTrackV2, which integrates two pivotal aspects of tracking: determining where to look (localization) and how to describe (appearance analysis) the target object across video frames.
-
7 Jul 2023 1 repository listedTo address this challenge, a graph-based non-rigid registration is proposed to enable transferring planned paths from the atlas to the current setup by explicitly considering subcutaneous bone surface features instead…
-
26 Jun 2023 1 repository listedA vector quantization step is introduced before the NN calculation to represent the template with k features, and the filter response over the NNFs is used to compare the template and query distributions over the…
-
7 Jun 2023 1 repository listedTo unify the process, an important step is to automatically and robustly detect the target from different types of LiDARs.
-
31 May 2023 1 repository listedThis work evaluates and demonstrates the differences between self-supervised CNNs and Vision Transformers for deep template matching.
-
18 Apr 2023 1 repository listedIn this paper, a canonical transformation method consisting of intensity correction and slant range correction is proposed to decrease the above distortion.
-
6 Apr 2023 1 repository listedIn this work, we are interested in open sets where the number of classes is unknown, varying, and without pre-knowledge about the objects' types.
-
15 Mar 2023 1 repository listedTo tackle the challenges, we propose an accurate template matching method based on differentiable coarse-to-fine correspondence refinement.
-
28 Feb 2023 1 repository listedWe present an effective method for the matching of multimodal images.
-
27 Feb 2023 1 repository listedSingle-cell RNA sequencing has been instrumental in uncovering cellular spatiotemporal context.
Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections