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 10511100 of 1648 papers

TitleStatusHype
Video Understanding as Machine Translation0
Viewpoint-Aware Attentive Multi-View Inference for Vehicle Re-Identification0
Visual Font Pairing0
Visual Neural Decoding via Improved Visual-EEG Semantic Consistency0
Was that so hard? Estimating human classification difficulty0
WCE Polyp Detection with Triplet based Embeddings0
Getting More for Less: Using Weak Labels and AV-Mixup for Robust Audio-Visual Speaker Verification0
Weakly Supervised Scene Parsing with Point-based Distance Metric Learning0
What Makes Objects Similar: A Unified Multi-Metric Learning Approach0
What Makes Two Language Models Think Alike?0
When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition0
Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification0
Why is the Mahalanobis Distance Effective for Anomaly Detection?0
WideResNet with Joint Representation Learning and Data Augmentation for Cover Song Identification0
Worst-Case Linear Discriminant Analysis0
Zero Day Threat Detection Using Metric Learning Autoencoders0
Robust Metric Learning by Smooth Optimization0
Inductive Regularized Learning of Kernel Functions0
Information Theoretic Learning with Infinitely Divisible Kernels0
Informative Sample-Aware Proxy for Deep Metric Learning0
Instance Cross Entropy for Deep Metric Learning0
Integrating Parametric and Non-Parametric Models For Scene Labeling0
Intelligent Known and Novel Aircraft Recognition -- A Shift from Classification to Similarity Learning for Combat Identification0
Interpolated Discretized Embedding of Single Vectors and Vector Pairs for Classification, Metric Learning and Distance Approximation0
Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting0
Interpretable Distance Metric Learning for Handwritten Chinese Character Recognition0
Interpretable embeddings to understand computing careers0
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning0
Iterated Support Vector Machines for Distance Metric Learning0
Iterative Deep Graph Learning for Graph Neural Networks0
Joint Adaptive Neighbours and Metric Learning for Multi-view Subspace Clustering0
Joint Dimensionality Reduction and Metric Learning: A Geometric Take0
Joint Discriminative and Metric Embedding Learning for Person Re-Identification0
Joint Intensity and Spatial Metric Learning for Robust Gait Recognition0
Jointly Learning Multiple Measures of Similarities from Triplet Comparisons0
Kernel-based Distance Metric Learning in the Output Space0
Mixed-type Distance Shrinkage and Selection for Clustering via Kernel Metric Learning0
Kernel Regression with Sparse Metric Learning0
Knowledge Elicitation using Deep Metric Learning and Psychometric Testing0
Categorical Knowledge Fused Recognition: Fusing Hierarchical Knowledge with Image Classification through Aligning and Deep Metric Learning0
Knowledge Guided Metric Learning for Few-Shot Text Classification0
Label Efficient Learning of Transferable Representations acrosss Domains and Tasks0
Label Efficient Learning of Transferable Representations across Domains and Tasks0
LabellessFace: Fair Metric Learning for Face Recognition without Attribute Labels0
Label-Removed Generative Adversarial Networks Incorporating with K-Means0
Language and Obfuscation Oblivious Source Code Authorship Attribution0
Large Margin Multi-Task Metric Learning0
Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features0
Large-Margin Representation Learning for Texture Classification0
Large-scale Distance Metric Learning with Uncertainty0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@198.2Unverified
2Hyp-DINO 8x8R@192.8Unverified
3NEDR@191.5Unverified
4ResNet-50 + Intra-Batch (ensemble of 5)R@191.5Unverified
5ResNet-50 + AVSLR@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