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 9511000 of 1648 papers

TitleStatusHype
Supervised similarity learning for corporate bonds using Random Forest proximities0
Supervised Tree-Wasserstein Distance0
SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification0
Synthetic speech detection using meta-learning with prototypical loss0
Synthetic Speech Source Tracing using Metric Learning0
Target Confusion in End-to-end Speaker Extraction: Analysis and Approaches0
Targeted Attention for Generalized- and Zero-Shot Learning0
Targeting Ultimate Accuracy: Face Recognition via Deep Embedding0
Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification0
Template Adaptation for Face Verification and Identification0
Text Anchor Based Metric Learning for Small-footprint Keyword Spotting0
Droid: A Resource Suite for AI-Generated Code Detection0
The Classification Accuracy of Multiple-Metric Learning Algorithm on Multi-Sensor Fusion0
The Expected Jacobian Outerproduct: Theory and Empirics0
The General Pair-based Weighting Loss for Deep Metric Learning0
The Group Loss++: A deeper look into group loss for deep metric learning0
The Importance of Metric Learning for Robotic Vision: Open Set Recognition and Active Learning0
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm0
Three Things to Know about Deep Metric Learning0
Threshold Auto-Tuning Metric Learning0
Time-Frequency Analysis of Variable-Length WiFi CSI Signals for Person Re-Identification0
TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling0
Towards Adversarially Robust Deep Metric Learning0
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes0
Towards Comprehensive Representation Enhancement in Semantics-guided Self-supervised Monocular Depth Estimation0
Towards Context-Aware Neural Performance-Score Synchronisation0
Towards ECDSA key derivation from deep embeddings for novel Blockchain applications0
Towards Fine-Grained Webpage Fingerprinting at Scale0
Towards Making High Dimensional Distance Metric Learning Practical0
Towards Scalable and Channel-Robust Radio Frequency Fingerprint Identification for LoRa0
Towards Self-Adaptive Metric Learning On the Fly0
Towards structure-preserving quantum encodings0
Towards understanding how attention mechanism works in deep learning0
Towards Visually Explaining Similarity Models0
Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation0
Tracklet Association with Online Target-Specific Metric Learning0
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling0
Trainable Class Prototypes for Few-Shot Learning0
TransA: An Adaptive Approach for Knowledge Graph Embedding0
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning0
Transferable Deep Metric Learning for Clustering0
Transfer Metric Learning: Algorithms, Applications and Outlooks0
Transfer of View-manifold Learning to Similarity Perception of Novel Objects0
Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain0
Treating Pseudo-labels Generation as Image Matting for Weakly Supervised Semantic Segmentation0
Tree Edit Distance Learning via Adaptive Symbol Embeddings: Supplementary Materials and Results0
Tree Edit Distance Learning via Adaptive Symbol Embeddings0
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning0
Triple-stream Deep Metric Learning of Great Ape Behavioural Actions0
TripletGAN: Training Generative Model with Triplet Loss0
Show:102550
← PrevPage 20 of 33Next →

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