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Pseudo Label

A lightweight but very power technique for semi supervised learning

Papers

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Showing 601–650 of 956 papers

TitleStatusHype
A Robust Negative Learning Approach to Partial Domain Adaptation Using Source Prototypes—0
Asymmetric double-winged multi-view clustering network for exploring Diverse and Consistent Information—0
Listen to Minority: Encrypted Traffic Classification for Class Imbalance with Contrastive Pre-Training—0
An Uncertainty-Aware Pseudo-Label Selection Framework using Regularized Conformal PredictionCode0
Local-Global Pseudo-label Correction for Source-free Domain Adaptive Medical Image Segmentation—0
End-to-End Driving via Self-Supervised Imitation Learning Using Camera and LiDAR Data—0
Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification—0
A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications—0
GeT: Generative Target Structure Debiasing for Domain Adaptation—0
Semantic-Human: Neural Rendering of Humans from Monocular Video with Human Parsing—0
Multi-Task Pseudo-Label Learning for Non-Intrusive Speech Quality Assessment Model—0
MarginMatch: Improving Semi-Supervised Learning with Pseudo-MarginsCode0
Discrepancy-based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images—0
SegMatch: A semi-supervised learning method for surgical instrument segmentation—0
Consistency Regularization for Generalizable Source-free Domain Adaptation—0
Push the Boundary of SAM: A Pseudo-label Correction Framework for Medical Segmentation—0
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray—0
Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels—0
Cross-Model Cross-Stream Learning for Self-Supervised Human Action RecognitionCode0
The Staged Knowledge Distillation in Video Classification: Harmonizing Student Progress by a Complementary Weakly Supervised Framework—0
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation—0
Novel Categories Discovery Via Constraints on Empirical Prediction StatisticsCode0
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment—0
Query-based Video Summarization with Pseudo Label Supervision—0
Unsupervised Vehicle Re-Identification Based on Cross-Style Semi-Supervised Pre-Training and Feature Cross-Division—0
Weakly Supervised 3D Segmentation via Receptive-driven Pseudo Label Consistency and Structural Consistency—0
Semi-Supervised Learning for hyperspectral images by non parametrically predicting view assignment—0
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction:A Multi-Dataset Study—0
Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning—0
Iterative self-transfer learning: A general methodology for response time-history prediction based on small dataset—0
Making Binary Classification from Multiple Unlabeled Datasets Almost Free of Supervision—0
Semi-supervsied Learning-based Sound Event Detection using Freuqency Dynamic Convolution with Large Kernel Attention for DCASE Challenge 2023 Task 4—0
Weakly Supervised 3D Object Detection with Multi-Stage Generalization—0
SF-FSDA: Source-Free Few-Shot Domain Adaptive Object Detection with Efficient Labeled Data Factory—0
NTKCPL: Active Learning on Top of Self-Supervised Model by Estimating True Coverage—0
Enhancing Point Annotations with Superpixel and Confidence Learning Guided for Improving Semi-Supervised OCT Fluid Segmentation—0
Revisiting Class Imbalance for End-to-end Semi-Supervised Object Detection—0
Exploring the Boundaries of Semi-Supervised Facial Expression Recognition using In-Distribution, Out-of-Distribution, and Unconstrained DataCode0
Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI—0
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent DiscoveryCode0
Source-Free Domain Adaptation for SSVEP-based Brain-Computer InterfacesCode0
Healing Unsafe Dialogue Responses with Weak Supervision SignalsCode0
Semi-Supervised and Long-Tailed Object Detection with CascadeMatchCode0
Attentive Continuous Generative Self-training for Unsupervised Domain Adaptive Medical Image Translation—0
Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype LearningCode0
MOTRv3: Release-Fetch Supervision for End-to-End Multi-Object Tracking—0
Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment—0
Progressive Sub-Graph Clustering Algorithm for Semi-Supervised Domain Adaptation Speaker Verification—0
Pseudo-Label Training and Model Inertia in Neural Machine Translation—0
SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation—0
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