SOTAVerified

Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–650 of 956 papers

TitleStatusHype
Controllable Discovery of Intents: Incremental Deep Clustering Using Semi-Supervised Contrastive Learning—0
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images—0
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training—0
Cross-Domain 3D Hand Pose Estimation With Dual Modalities—0
Cross Domain Object Detection via Multi-Granularity Confidence Alignment based Mean Teacher—0
Cross-Domain Transfer Learning with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight Segmentation Model—0
CrossMatch: Source-Free Domain Adaptive Semantic Segmentation via Cross-Modal Consistency Training—0
Cross Pseudo-Labeling for Semi-Supervised Audio-Visual Source Localization—0
ctPuLSE: Close-Talk, and Pseudo-Label Based Far-Field, Speech Enhancement—0
CTS: Sim-to-Real Unsupervised Domain Adaptation on 3D Detection—0
CycleAlign: Iterative Distillation from Black-box LLM to White-box Models for Better Human Alignment—0
D2AF: A Dual-Driven Annotation and Filtering Framework for Visual Grounding—0
Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification—0
Data Augmentation Methods for End-to-end Speech Recognition on Distant-Talk Scenarios—0
Cross-Task Data Augmentation by Pseudo-label Generation for Region Based Coronary Artery Instance Segmentation—0
Data-Free Quantization via Pseudo-label Filtering—0
DC-SSL: Addressing Mismatched Class Distribution in Semi-Supervised Learning—0
DDF: A Novel Dual-Domain Image Fusion Strategy for Remote Sensing Image Semantic Segmentation with Unsupervised Domain Adaptation—0
DebtFree: Minimizing Labeling Cost in Self-Admitted Technical Debt Identification using Semi-Supervised Learning—0
Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection—0
Deep Clustering via Community Detection—0
Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification—0
Deep Feature Registration for Unsupervised Domain Adaptation—0
Deep Graph-Level Clustering Using Pseudo-Label-Guided Mutual Information Maximization Network—0
Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation—0
Deep Supervision by Gaussian Pseudo-label-based Morphological Attention for Abdominal Aorta Segmentation in Non-Contrast CTs—0
Degree-Conscious Spiking Graph for Cross-Domain Adaptation—0
Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning—0
Density-Aware Graph for Deep Semi-Supervised Visual Recognition—0
Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models—0
Discrepancy-based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images—0
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation—0
Domain Adaptation Using Pseudo Labels—0
Domain Adaptive Ensemble Learning—0
Domain Consistency Regularization for Unsupervised Multi-source Domain Adaptive Classification—0
Dual Clustering Co-teaching with Consistent Sample Mining for Unsupervised Person Re-Identification—0
Efficient Test-Time Adaptation of Vision-Language Models—0
EICO: Improving Few-Shot Text Classification via Explicit and Implicit Consistency Regularization—0
ELiTe: Efficient Image-to-LiDAR Knowledge Transfer for Semantic Segmentation—0
End-to-End Driving via Self-Supervised Imitation Learning Using Camera and LiDAR Data—0
End-to-end Semantic-centric Video-based Multimodal Affective Computing—0
Energy Score-based Pseudo-Label Filtering and Adaptive Loss for Imbalanced Semi-supervised SAR target recognition—0
Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation—0
Enhanced Soft Label for Semi-Supervised Semantic Segmentation—0
Enhancing Self-Training Methods—0
Enhancing Test Time Adaptation with Few-shot Guidance—0
Enhancing Weakly Supervised Semantic Segmentation with Multi-modal Foundation Models: An End-to-End Approach—0
Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning—0
Exemplar Learning for Medical Image Segmentation—0
Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection—0
Show:102550
← PrevPage 13 of 20Next →

No leaderboard results yet.