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Showing 601–650 of 1626 papers

TitleStatusHype
Towards Open Set Video Anomaly Detection—0
Pretrained Language Encoders are Natural Tagging Frameworks for Aspect Sentiment Triplet Extraction—0
STAR-GNN: Spatial-Temporal Video Representation for Content-based Retrieval—0
MetricBERT: Text Representation Learning via Self-Supervised Triplet Training—0
Contrastive Learning for OOD in Object detectionCode0
Memorizing Complementation Network for Few-Shot Class-Incremental Learning—0
NIR-to-VIS Face Recognition via Embedding Relations and Coordinates of the Pairwise Features—0
Rethinking the Evaluation of Unbiased Scene Graph Generation—0
Adapting Triplet Importance of Implicit Feedback for Personalized RecommendationCode0
Satellite Image Based Cross-view Localization for Autonomous Vehicle—0
Active Learning of Ordinal Embeddings: A User Study on Football Data—0
Criteria Comparative Learning for Real-scene Image Super-ResolutionCode0
AutoWeird: Weird Translational Scoring Function Identified by Random Search—0
Patent Search Using Triplet Networks Based Fine-Tuned SciBERT—0
Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification—0
WideResNet with Joint Representation Learning and Data Augmentation for Cover Song Identification—0
Semi-Supervised Keypoint Detector and Descriptor for Retinal Image MatchingCode1
Inertial Hallucinations -- When Wearable Inertial Devices Start Seeing Things—0
Octuplet Loss: Make Face Recognition Robust to Image ResolutionCode1
Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm—0
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification—0
YNU-HPCC at SemEval-2022 Task 2: Representing Multilingual Idiomaticity based on Contrastive Learning—0
m-Networks: Adapting the Triplet Networks for Acronym DisambiguationCode0
A Robustly Optimized BMRC for Aspect Sentiment Triplet ExtractionCode1
Improving Neural Models for Radiology Report Retrieval with Lexicon-based Automated Annotation—0
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance SegmentationCode0
Exploiting Semantic Role Contextualized Video Features for Multi-Instance Text-Video Retrieval EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022Code0
SAT: Self-adaptive training for fashion compatibility predictionCode1
SAQAM: Spatial Audio Quality Assessment Metric—0
Single Morphing Attack Detection using Siamese Network and Few-shot Learning—0
UniUD-FBK-UB-UniBZ Submission to the EPIC-Kitchens-100 Multi-Instance Retrieval Challenge 2022—0
Multi-level Domain Adaptation for Lane Detection—0
Improving Triplet-Based Channel Charting on Distributed Massive MIMO Measurements—0
Automatic Prosody Annotation with Pre-Trained Text-Speech ModelCode1
Rank the triplets: A ranking-based multiple instance learning framework for detecting HPV infection in head and neck cancers using routine H&E images—0
Investigation of stellar magnetic activity using variational autoencoder based on low-resolution spectroscopic surveyCode0
Neural Bregman Divergences for Distance Learning—0
Motif Mining and Unsupervised Representation Learning for BirdCLEF 2022Code0
TriBYOL: Triplet BYOL for Self-Supervised Representation Learning—0
BehavePassDB: Public Database for Mobile Behavioral Biometrics and Benchmark EvaluationCode0
Sports Re-ID: Improving Re-Identification Of Players In Broadcast Videos Of Team SportsCode1
M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation—0
A Competitive Method for Dog Nose-print Re-identificationCode1
GCoNet+: A Stronger Group Collaborative Co-Salient Object DetectorCode4
TrackNet: A Triplet metric-based method for Multi-Target Multi-Camera Vehicle TrackingCode1
DTU-Net: Learning Topological Similarity for Curvilinear Structure SegmentationCode0
Non-Parametric Domain Adaptation for End-to-End Speech TranslationCode1
KGNN: Distributed Framework for Graph Neural Knowledge Representation—0
Simple and Effective Relation-based Embedding Propagation for Knowledge Representation LearningCode3
Accounting for the Sequential Nature of States to Learn Features for Reinforcement Learning—0
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