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 901950 of 1648 papers

TitleStatusHype
Deep multi-metric learning for text-independent speaker verificationCode1
Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval0
Learning and Exploiting Interclass Visual Correlations for Medical Image Classification0
Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity LocalizationCode1
ECML: An Ensemble Cascade Metric Learning Mechanism towards Face VerificationCode0
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating TheoremCode0
Data-Efficient Ranking Distillation for Image Retrieval0
Spatial Semantic Embedding Network: Fast 3D Instance Segmentation with Deep Metric LearningCode1
A Novel Random Forest Dissimilarity Measure for Multi-View Learning0
Offline versus Online Triplet Mining based on Extreme Distances of Histopathology PatchesCode0
A Metric Learning Approach to Misogyny Categorization0
Person search: New paradigm of person re-identification: A survey and outlook of recent works0
Uniform Priors for Data-Efficient Transfer0
Asymmetric metric learning for knowledge transferCode1
Vehicle Attribute Recognition by Appearance: Computer Vision Methods for Vehicle Type, Make and Model Classification0
Evolving Metric Learning for Incremental and Decremental Features0
Adaptive additive classification-based loss for deep metric learning0
Graph Neural Network Based Coarse-Grained Mapping PredictionCode1
Road Network Metric Learning for Estimated Time of Arrival0
Disentangling by Subspace DiffusionCode0
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node EmbeddingsCode1
Enhancing Factorization Machines with Generalized Metric LearningCode0
Quantile-Quantile Embedding for Distribution Transformation and Manifold Embedding with Ability to Choose the Embedding DistributionCode0
Semi-Discriminative Representation Loss for Online Continual LearningCode0
Compositional Learning of Image-Text Query for Image RetrievalCode1
Self-supervised Knowledge Distillation for Few-shot LearningCode1
Mitosis Detection Under Limited Annotation: A Joint Learning Approach0
Visual Identification of Individual Holstein-Friesian Cattle via Deep Metric LearningCode1
Signed Graph Metric Learning via Gershgorin Disc Perfect AlignmentCode0
LFD-ProtoNet: Prototypical Network Based on Local Fisher Discriminant Analysis for Few-shot Learning0
Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels0
Disentanglement for Discriminative Visual Recognition0
Attribute-aware Identity-hard Triplet Loss for Video-based Person Re-identificationCode1
Video Understanding as Machine Translation0
Provably Robust Metric LearningCode1
Online Metric Learning for Multi-Label Classification0
Pairwise Supervision Can Provably Elicit a Decision Boundary0
Improving Deep Metric Learning with Virtual Classes and Examples Mining0
Quasi-Dense Similarity Learning for Multiple Object TrackingCode1
Unique Faces Recognition in Videos0
Towards Certified Robustness of Distance Metric LearningCode0
Smooth Proxy-Anchor Loss for Noisy Metric Learning0
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study0
Rethinking preventing class-collapsing in metric learning with margin-based losses0
Calibrated neighborhood aware confidence measure for deep metric learning0
Beyond Triplet Loss: Meta Prototypical N-tuple Loss for Person Re-identification0
Distributionally Robust Weighted k-Nearest Neighbors0
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown ExamplesCode1
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual RepresentationsCode1
The Expected Jacobian Outerproduct: Theory and Empirics0
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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