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 14511500 of 1648 papers

TitleStatusHype
Cross-media Similarity Metric Learning with Unified Deep Networks0
Attention-Set based Metric Learning for Video Face Recognition0
Metric Learning in Codebook Generation of Bag-of-Words for Person Re-identification0
Smart Mining for Deep Metric Learning0
Collaborative Metric LearningCode0
Transfer of View-manifold Learning to Similarity Perception of Novel Objects0
Semantic Instance Segmentation via Deep Metric LearningCode0
DeepVisage: Making face recognition simple yet with powerful generalization skills0
In Defense of the Triplet Loss for Person Re-IdentificationCode0
Cross-modal Deep Metric Learning with Multi-task Regularization0
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain NetworksCode0
Metric Learning for Generalizing Spatial Relations to New ObjectsCode0
Incorporating Intra-Class Variance to Fine-Grained Visual Recognition0
Exemplar-Centered Supervised Shallow Parametric Data Embedding0
Deep Hybrid Similarity Learning for Person Re-identification0
Reconstruction-Based Disentanglement for Pose-invariant Face Recognition0
Similarity Function Tracking using Pairwise Comparisons0
End-to-End Data Visualization by Metric Learning and Coordinate Transformation0
Constraint Selection in Metric Learning0
Deep Metric Learning via Facility LocationCode0
Semi-supervised Kernel Metric Learning Using Relative Comparisons0
What Makes Objects Similar: A Unified Multi-Metric Learning Approach0
Improved Deep Metric Learning with Multi-class N-pair Loss Objective0
Learning Invariant Representations Of Planar Curves0
Optical Flow Requires Multiple Strategies (but only one network)Code0
Hard-Aware Deeply Cascaded EmbeddingCode0
Multi-view metric learning for multi-instance image classification0
Feasibility Based Large Margin Nearest Neighbor Metric Learning0
Efficient Metric Learning for the Analysis of Motion DataCode0
Improved Strongly Adaptive Online Learning using Coin Betting0
Dynamic Metric Learning from Pairwise Comparisons0
Learning Optimal Parameters for Multi-target Tracking with Contextual Interactions0
OPML: A One-Pass Closed-Form Solution for Online Metric Learning0
Hard Negative Mining for Metric Learning Based Zero-Shot Classification0
Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video0
A Richer Theory of Convex Constrained Optimization with Reduced Projections and Improved Rates0
Interpolated Discretized Embedding of Single Vectors and Vector Pairs for Classification, Metric Learning and Distance Approximation0
Finding Non-Arbitrary Form-Meaning Systematicity Using String-Metric Learning for Kernel Regression0
Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification0
Geometric Mean Metric LearningCode0
Learning a metric for class-conditional KNNCode0
Universal Correspondence Network0
metricDTW: local distance metric learning in Dynamic Time Warping0
Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions0
Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach0
Closed-Form Training of Mahalanobis Distance for Supervised Clustering0
Metric Learning as Convex Combinations of Local Models With Generalization Guarantees0
Biconvex Relaxation for Semidefinite Programming in Computer VisionCode0
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and DatasetsCode0
Deep Attributes Driven Multi-Camera Person Re-identification0
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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