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Template Matching

24 papers with code · Computer Vision

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TernausNetV2: Fully Convolutional Network for Instance Segmentation

3 Jun 2018ternaus/TernausNetV2

The 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.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION TEMPLATE MATCHING TRANSFER LEARNING

Deep Watershed Transform for Instance Segmentation

CVPR 2017 min2209/dwt

Most contemporary approaches to instance segmentation use complex pipelines involving conditional random fields, recurrent neural networks, object proposals, or template matching schemes.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION TEMPLATE MATCHING

Learning Deep Features for One-Class Classification

16 Jan 2018PramuPerera/DeepOneClass

We propose a deep learning-based solution for the problem of feature learning in one-class classification.

ANOMALY DETECTION TEMPLATE MATCHING

Tracking Holistic Object Representations

21 Jul 2019xl-sr/THOR

The framework leverages the idea of obtaining additional object templates during the tracking process.

TEMPLATE MATCHING VISUAL OBJECT TRACKING VISUAL TRACKING

Fast and accurate spike sorting of high-channel count probes with KiloSort

NeurIPS 2016 cortex-lab/KiloSort

Unlike previous algorithms that compress the data with PCA, KiloSort operates on the raw data which allows it to construct a more accurate model of the waveforms.

TEMPLATE MATCHING

QATM: Quality-Aware Template Matching For Deep Learning

CVPR 2019 cplusx/QATM

Finding 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.

IMAGE-TO-GPS VERIFICATION TEMPLATE MATCHING

Template Matching with Deformable Diversity Similarity

CVPR 2017 roimehrez/DDIS

We propose a novel measure for template matching named Deformable Diversity Similarity -- based on the diversity of feature matches between a target image window and the template.

TEMPLATE MATCHING

Learning Dynamic Memory Networks for Object Tracking

ECCV 2018 skyoung/MemTrack

In this paper, we propose a dynamic memory network to adapt the template to the target's appearance variations during tracking.

OBJECT TRACKING TEMPLATE MATCHING VISUAL TRACKING

GradNet: Gradient-Guided Network for Visual Object Tracking

ICCV 2019 LPXTT/GradNet-Tensorflow

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.

Ranked #2 on Visual Object Tracking on OTB-2015 (Precision metric)

TEMPLATE MATCHING VISUAL OBJECT TRACKING VISUAL TRACKING