SOTAVerified

Metric Learning

The goal of Metric Learning is to learn a representation function that maps objects into an embedded space. The distance in the embedded space should preserve the objects’ similarity — similar objects get close and dissimilar objects get far away. Various loss functions have been developed for Metric Learning. For example, the contrastive loss guides the objects from the same class to be mapped to the same point and those from different classes to be mapped to different points whose distances are larger than a margin. Triplet loss is also popular, which requires the distance between the anchor sample and the positive sample to be smaller than the distance between the anchor sample and the negative sample.

Source: Road Network Metric Learning for Estimated Time of Arrival

Papers

Showing 13011350 of 1648 papers

TitleStatusHype
Heated-Up Softmax EmbeddingCode0
Merging datasets through deep learningCode0
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems0
Retrospective Encoders for Video Summarization0
Learning 3D Keypoint Descriptors for Non-Rigid Shape Matching0
Correcting the Triplet Selection Bias for Triplet LossCode0
RelocNet: Continuous Metric Learning Relocalisation using Neural Nets0
Deep Variational Metric Learning0
Discriminative Learning of Similarity and Group Equivariant Representations0
Person Re-Identification by Semantic Region Representation and Topology Constraint0
Next Item Recommendation with Self-Attention0
Stochastic Combinatorial Ensembles for Defending Against Adversarial Examples0
Metric Learning for Novelty and Anomaly DetectionCode0
Deep Randomized Ensembles for Metric LearningCode0
Active Learning based on Data Uncertainty and Model Sensitivity0
Triplet Network with Attention for Speaker Diarization0
Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification0
Human Motion Analysis with Deep Metric LearningCode0
Hard-Aware Point-to-Set Deep Metric for Person Re-identificationCode0
Maximum Margin Metric Learning Over Discriminative Nullspace for Person Re-identification0
Self-Paced Learning with Adaptive Deep Visual EmbeddingsCode0
Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization BoundsCode0
Unsupervised Metric Learning in Presence of Missing DataCode0
A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization0
Algorithms for metric learning via contrastive embeddings0
Learning Neural Models for End-to-End ClusteringCode0
M-ADDA: Unsupervised Domain Adaptation with Deep Metric LearningCode0
3D Human Action Recognition with Siamese-LSTM Based Deep Metric Learning0
Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval0
Relational Constraints for Metric Learning on Relational Data0
Grassmannian Discriminant Maps (GDM) for Manifold Dimensionality Reduction with Application to Image Set Classification0
Unsupervised Natural Image Patch Learning0
EmbNum: Semantic labeling for numerical values with deep metric learning0
Variational learning across domains with triplet information0
Deep Similarity Metric Learning for Real-Time Pedestrian Tracking0
Multi-Attention Multi-Class Constraint for Fine-grained Image RecognitionCode0
Low-rank geometric mean metric learningCode0
Tree Edit Distance Learning via Adaptive Symbol Embeddings0
RepMet: Representative-based metric learning for classification and one-shot object detectionCode0
A Fast and Easy Regression Technique for k-NN Classification Without Using Negative Pairs0
OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep LearningCode0
Easy Identification From Better Constraints: Multi-Shot Person Re-Identification From Reference Constraints0
Geometry Aware Constrained Optimization Techniques for Deep Learning0
CVM-Net: Cross-View Matching Network for Image-Based Ground-to-Aerial Geo-LocalizationCode0
Viewpoint-Aware Attentive Multi-View Inference for Vehicle Re-Identification0
Deep Adversarial Metric Learning0
Multiple Manifolds Metric Learning with Application to Image Set Classification0
Large-scale Distance Metric Learning with Uncertainty0
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer LearningCode0
Anime Style Space Exploration Using Metric Learning and Generative Adversarial Networks0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@198.2Unverified
2Hyp-DINO 8x8R@192.8Unverified
3ResNet-50 + AVSLR@191.5Unverified
4NEDR@191.5Unverified
5ResNet-50 + Intra-Batch (ensemble of 5)R@191.5Unverified
6EfficientDML-VPTSP-G/512R@191.2Unverified
7CCL (ResNet-50)R@191.02Unverified
8ResNet50 + LanguageR@190.2Unverified
9ResNet-50 + MetrixR@189.6Unverified
10ResNet50 + S2SDR@189.5Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@191.2Unverified
2STIRR@188.3Unverified
3Recall@k Surrogate Loss (ViT-B/16)R@188Unverified
4ViT-TripletR@186.5Unverified
5ROADMAP (DeiT-S)R@186Unverified
6Hyp-ViTR@185.9Unverified
7Hyp-DINOR@185.1Unverified
8Recall@k Surrogate Loss (ViT-B/32)R@185.1Unverified
9CCL (ResNet-50)R@183.1Unverified
10ROADMAP (ResNet-50)R@183.1Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@190.1Unverified
2EfficientDML-VPTSP-G/512R@188.5Unverified
3Hyp-ViTR@185.6Unverified
4Hyp-DINOR@180.9Unverified
5NEDR@174.9Unverified
6CCL (ResNet-50)R@173.45Unverified
7ResNet-50 + AVSLR@171.9Unverified
8ResNet-50 + Intra-Batch ConnectionsR@171.8Unverified
9ResNet50 + LanguageR@171.4Unverified
10ResNet-50 + MetrixR@171.4Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@196.7Unverified
2STIRR@195Unverified
3MGAR@194.3Unverified
4Hyp-ViTR@192.5Unverified
5Hyp-DINOR@192.4Unverified
6CCL (ResNet-50)R@192.31Unverified
7Gradient SurgeryR@192.21Unverified
8ResNet-50 + MetrixR@192.2Unverified
9EfficientDML-VPTSP-G/512R@192.1Unverified
10ViT-TripletR@192.1Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP43.8Unverified
2CSLAverage-mAP31Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP38Unverified
2CSLAverage-mAP28.7Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP37Unverified
2CSLAverage-mAP12.1Unverified