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Metric Learning

87 papers with code · Methodology

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Time-Contrastive Networks: Self-Supervised Learning from Video

23 Apr 2017tensorflow/models

While representations are learned from an unlabeled collection of task-related videos, robot behaviors such as pouring are learned by watching a single 3rd-person demonstration by a human.

METRIC LEARNING

metric-learn: Metric Learning Algorithms in Python

13 Aug 2019all-umass/metric_learn

metric-learn is an open source Python package implementing supervised and weakly-supervised distance metric learning algorithms.

METRIC LEARNING MODEL SELECTION

In Defense of the Triplet Loss for Person Re-Identification

22 Mar 2017VisualComputingInstitute/triplet-reid

In the past few years, the field of computer vision has gone through a revolution fueled mainly by the advent of large datasets and the adoption of deep convolutional neural networks for end-to-end learning.

METRIC LEARNING PERSON RE-IDENTIFICATION

Additive Margin Softmax for Face Verification

17 Jan 2018happynear/AMSoftmax

In this work, we introduce a novel additive angular margin for the Softmax loss, which is intuitively appealing and more interpretable than the existing works.

FACE VERIFICATION METRIC LEARNING

Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning

CVPR 2019 loicland/superpoint_graph

We propose a new supervized learning framework for oversegmenting 3D point clouds into superpoints.

METRIC LEARNING SEMANTIC SEGMENTATION

NormFace: L2 Hypersphere Embedding for Face Verification

21 Apr 2017happynear/NormFace

We show that both strategies, and small variants, consistently improve performance by between 0. 2% to 0. 4% on the LFW dataset based on two models.

FACE VERIFICATION METRIC LEARNING

Matching Networks for One Shot Learning

NeurIPS 2016 oscarknagg/few-shot

Our algorithm improves one-shot accuracy on ImageNet from 87. 6% to 93. 2% and from 88. 0% to 93. 8% on Omniglot compared to competing approaches.

FEW-SHOT IMAGE CLASSIFICATION LANGUAGE MODELLING METRIC LEARNING OMNIGLOT ONE-SHOT LEARNING

Deep Cosine Metric Learning for Person Re-Identification

2 Dec 2018nwojke/cosine_metric_learning

Metric learning aims to construct an embedding where two extracted features corresponding to the same identity are likely to be closer than features from different identities.

METRIC LEARNING PERSON RE-IDENTIFICATION

A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets

31 May 2016NEU-Gou/awesome-reid-dataset

To ensure a fair comparison, all of the approaches were implemented using a unified code library that includes 11 feature extraction algorithms and 22 metric learning and ranking techniques.

METRIC LEARNING PERSON RE-IDENTIFICATION

Batch DropBlock Network for Person Re-identification and Beyond

17 Nov 2018daizuozhuo/batch-dropblock-network

In this paper, we propose the Batch DropBlock (BDB) Network which is a two branch network composed of a conventional ResNet-50 as the global branch and a feature dropping branch.

IMAGE RETRIEVAL METRIC LEARNING PERSON RE-IDENTIFICATION