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 901–950 of 1648 papers

TitleStatusHype
A Retrofitting Model for Incorporating Semantic Relations into Word Embeddings—0
Multi-scale Adaptive Task Attention Network for Few-Shot Learning—0
Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19—0
Better Knowledge Retention through Metric Learning—0
A Self-Penalizing Objective Function for Scalable Interaction Detection—0
SLADE: A Self-Training Framework For Distance Metric Learning—0
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning—0
Improving Calibration in Deep Metric Learning With Cross-Example Softmax—0
Towards Improved and Interpretable Deep Metric Learning via Attentive GroupingCode0
A New Similarity Space Tailored for Supervised Deep Metric LearningCode0
A Broad Dataset is All You Need for One-Shot Object Detection—0
Masked Proxy Loss For Text-Independent Speaker VerificationCode0
MLAS: Metric Learning on Attributed Sequences—0
Deep Metric Learning with Spherical Embedding—0
Few-Shot Font Generation with Deep Metric Learning—0
Set Augmented Triplet Loss for Video Person Re-Identification—0
Do not trust the neighbors! Adversarial Metric Learning for Self-Supervised Scene Flow Estimation—0
Language and Obfuscation Oblivious Source Code Authorship Attribution—0
Data-driven prediction of multistable systems from sparse measurements—0
Malicious Requests Detection with Improved Bidirectional Long Short-term Memory Neural Networks—0
XDM: Improving Sequential Deep Matching with Unclicked User Behaviors for Recommender SystemCode0
Beyond the Deep Metric Learning: Enhance the Cross-Modal Matching with Adversarial Discriminative Domain Regularization—0
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity LearningCode0
Momentum Contrast Speaker Representation Learning—0
Multi-task Metric Learning for Text-independent Speaker Verification—0
Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning—0
Graphite: GRAPH-Induced feaTure Extraction for Point Cloud RegistrationCode0
FILM: A Fast, Interpretable, and Low-rank Metric Learning Approach for Sentence Matching—0
Unsupervised Distillation of Syntactic Information from Contextualized Word RepresentationsCode0
Contrastive Representation Learning: A Framework and Review—0
Uncertainty-Aware Few-Shot Image Classification—0
Low-Rank Robust Online Distance/Similarity Learning based on the Rescaled Hinge Loss—0
DML-GANR: Deep Metric Learning With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval—0
Latent Topic Refinement based on Distance Metric Learning and Semantics-assisted Non-negative Matrix Factorization—0
A new dataset of dog breed images and a benchmark for fine-grained classification—0
Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified SamplingCode0
RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification—0
Discriminative Representation Loss (DRL): A More Efficient Approach than Gradient Re-Projection in Continual Learning—0
Reducing Class Collapse in Metric Learning with Easy Positive Sampling—0
Learning Self-Expression Metrics for Scalable and Inductive Subspace ClusteringCode0
Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling—0
TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling—0
Cosine meets Softmax: A tough-to-beat baseline for visual groundingCode0
3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties—0
Diversified Mutual Learning for Deep Metric Learning—0
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature EmbeddingCode0
Proxy Network for Few Shot LearningCode0
Understanding and Exploiting Dependent Variables with Deep Metric Learning—0
Simultaneous Preference and Metric Learning from Paired Comparisons—0
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@198.2—Unverified
2Hyp-DINO 8x8R@192.8—Unverified
3ResNet-50 + AVSLR@191.5—Unverified
4NEDR@191.5—Unverified
5ResNet-50 + Intra-Batch (ensemble of 5)R@191.5—Unverified
6EfficientDML-VPTSP-G/512R@191.2—Unverified
7CCL (ResNet-50)R@191.02—Unverified
8ResNet50 + LanguageR@190.2—Unverified
9ResNet-50 + MetrixR@189.6—Unverified
10ResNet50 + S2SDR@189.5—Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@191.2—Unverified
2STIRR@188.3—Unverified
3Recall@k Surrogate Loss (ViT-B/16)R@188—Unverified
4ViT-TripletR@186.5—Unverified
5ROADMAP (DeiT-S)R@186—Unverified
6Hyp-ViTR@185.9—Unverified
7Hyp-DINOR@185.1—Unverified
8Recall@k Surrogate Loss (ViT-B/32)R@185.1—Unverified
9CCL (ResNet-50)R@183.1—Unverified
10ROADMAP (ResNet-50)R@183.1—Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@190.1—Unverified
2EfficientDML-VPTSP-G/512R@188.5—Unverified
3Hyp-ViTR@185.6—Unverified
4Hyp-DINOR@180.9—Unverified
5NEDR@174.9—Unverified
6CCL (ResNet-50)R@173.45—Unverified
7ResNet-50 + AVSLR@171.9—Unverified
8ResNet-50 + Intra-Batch ConnectionsR@171.8—Unverified
9ResNet50 + LanguageR@171.4—Unverified
10ResNet-50 + MetrixR@171.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Unicom+ViT-L@336pxR@196.7—Unverified
2STIRR@195—Unverified
3MGAR@194.3—Unverified
4Hyp-ViTR@192.5—Unverified
5Hyp-DINOR@192.4—Unverified
6CCL (ResNet-50)R@192.31—Unverified
7Gradient SurgeryR@192.21—Unverified
8ResNet-50 + MetrixR@192.2—Unverified
9EfficientDML-VPTSP-G/512R@192.1—Unverified
10ViT-TripletR@192.1—Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP43.8—Unverified
2CSLAverage-mAP31—Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP38—Unverified
2CSLAverage-mAP28.7—Unverified
#ModelMetricClaimedVerifiedStatus
1HAPPIERAverage-mAP37—Unverified
2CSLAverage-mAP12.1—Unverified