SOTAVerified

Triplet

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1576–1600 of 1626 papers

TitleStatusHype
SketchNet: Sketch Classification With Web Images—0
Joint Learning of Single-Image and Cross-Image Representations for Person Re-Identification—0
Thin-Slicing for Pose: Learning to Understand Pose Without Explicit Pose Estimation—0
Person Re-Identification by Multi-Channel Parts-Based CNN With Improved Triplet Loss FunctionCode0
Sketch Me That Shoe—0
Deep Attributes Driven Multi-Camera Person Re-identification—0
Triplet Probabilistic Embedding for Face Verification and ClusteringCode0
DARI: Distance metric And Representation Integration for Person Verification—0
Joint Unsupervised Learning of Deep Representations and Image ClustersCode0
Families in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarks—0
Intriguing symmetry in statistical structures of Siberian larch transcriptome—0
Fast Training of Triplet-based Deep Binary Embedding Networks—0
Structured Learning of Binary Codes with Column Generation—0
Triplet Similarity Embedding for Face Verification—0
Region Based Approximation for High Dimensional Bayesian Network Models—0
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss FunctionsCode0
Deep Feature Learning with Relative Distance Comparison for Person Re-identification—0
Embedding Label Structures for Fine-Grained Feature Representation—0
Triplet Spike Time Dependent Plasticity: A floating-gate Implementation—0
Bootstrapping Ternary Relation Extractors—0
Feature Learning based Deep Supervised Hashing with Pairwise LabelsCode0
Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing—0
Active Perceptual Similarity Modeling with Auxiliary Information—0
Human and Sheep Facial Landmarks Localisation by Triplet Interpolated Features—0
Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification—0
Show:102550
← PrevPage 64 of 66Next →

No leaderboard results yet.