Image de couverture de livre

BakuFlow: A Streamlining Semi-Automatic Label Generation Tool

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lin, Jerry, Chen, Partick P. W.
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A SAM based Tool for Semi-Automatic Food Annotation
par: Rahman, Lubnaa Abdur, et autres
Publié: (2024)

ToonComposer: Streamlining Cartoon Production with Generative Post-Keyframing
par: Li, Lingen, et autres
Publié: (2025)

Semi-Supervised Semantic Segmentation Based on Pseudo-Labels: A Survey
par: Ran, Lingyan, et autres
Publié: (2024)

Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification
par: Singh, Pranav, et autres
Publié: (2023)

Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
par: Zhan, Zheng, et autres
Publié: (2024)

Exploring Beyond Logits: Hierarchical Dynamic Labeling Based on Embeddings for Semi-Supervised Classification
par: Ma, Yanbiao, et autres
Publié: (2024)

OmniOVCD: Streamlining Open-Vocabulary Change Detection with SAM 3
par: Zhang, Xu, et autres
Publié: (2026)

A Generalized Label Shift Perspective for Cross-Domain Gaze Estimation
par: Yang, Hao-Ran, et autres
Publié: (2025)

AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
par: Wang, Haonan, et autres
Publié: (2024)

ShadowWolf -- Automatic Labelling, Evaluation and Model Training Optimised for Camera Trap Wildlife Images
par: Dede, Jens, et autres
Publié: (2025)

SemiOccam: A Robust Semi-Supervised Image Recognition Network Using Sparse Labels
par: Yann, Rui, et autres
Publié: (2025)

Semi-supervised Medical Image Segmentation Method Based on Cross-pseudo Labeling Leveraging Strong and Weak Data Augmentation Strategies
par: Chen, Yifei, et autres
Publié: (2024)

Learning with Instance-Dependent Noisy Labels by Anchor Hallucination and Hard Sample Label Correction
par: Huang, Po-Hsuan, et autres
Publié: (2024)

ALF: Adaptive Label Finetuning for Scene Graph Generation
par: Chen, Qishen, et autres
Publié: (2023)

Using In-Context Learning for Automatic Defect Labelling of Display Manufacturing Data
par: Hussain, Babar, et autres
Publié: (2025)

Flow-OPD: On-Policy Distillation for Flow Matching Models
par: Fang, Zhen, et autres
Publié: (2026)

Leveraging Labelled Data Knowledge: A Cooperative Rectification Learning Network for Semi-supervised 3D Medical Image Segmentation
par: Wang, Yanyan, et autres
Publié: (2025)

Energy Score-based Pseudo-Label Filtering and Adaptive Loss for Imbalanced Semi-supervised SAR target recognition
par: Zhang, Xinzheng, et autres
Publié: (2024)

SemiHMER: Semi-supervised Handwritten Mathematical Expression Recognition using pseudo-labels
par: Chen, Kehua, et autres
Publié: (2025)

Automatic Medical Report Generation: Methods and Applications
par: Guo, Li, et autres
Publié: (2024)

GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling
par: Bansal, Hritik, et autres
Publié: (2024)

L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning
par: Zhang, Xiang, et autres
Publié: (2025)

VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation
par: He, Xuan, et autres
Publié: (2024)

Turin3D: Evaluating Adaptation Strategies under Label Scarcity in Urban LiDAR Segmentation with Semi-Supervised Techniques
par: Barco, Luca, et autres
Publié: (2025)

LSSGen: Leveraging Latent Space Scaling in Flow and Diffusion for Efficient Text to Image Generation
par: Tang, Jyun-Ze, et autres
Publié: (2025)

Sat2Flow: A Structure-Aware Diffusion Framework for Human Flow Generation from Satellite Imagery
par: Wang, Xiangxu, et autres
Publié: (2025)

Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy
par: Pan, Shaoyan, et autres
Publié: (2024)

Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
par: Wu, Jingqi, et autres
Publié: (2025)

Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions
par: Jin, Cheng, et autres
Publié: (2023)

Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion Models
par: Lopez, Eleonora, et autres
Publié: (2024)

REFINE-CONTROL: A Semi-supervised Distillation Method For Conditional Image Generation
par: Jiang, Yicheng, et autres
Publié: (2025)

A Novel Dual-Stream Framework for dMRI Tractography Streamline Classification with Joint dMRI and fMRI Data
par: Yan, Haotian, et autres
Publié: (2025)

Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts
par: Li, Jianhao, et autres
Publié: (2024)

C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation
par: He, Jiaying, et autres
Publié: (2025)

Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
par: Lee, Dongkwan, et autres
Publié: (2025)

Flowception: Temporally Expansive Flow Matching for Video Generation
par: Ifriqi, Tariq Berrada, et autres
Publié: (2025)

Learning Patient-Specific Disease Dynamics with Latent Flow Matching for Longitudinal Imaging Generation
par: Chen, Hao, et autres
Publié: (2025)

Streamlining Forest Wildfire Surveillance: AI-Enhanced UAVs Utilizing the FLAME Aerial Video Dataset for Lightweight and Efficient Monitoring
par: Zhao, Lemeng, et autres
Publié: (2024)

Collaboration of Teachers for Semi-supervised Object Detection
par: Chen, Liyu, et autres
Publié: (2024)

Next Block Prediction: Video Generation via Semi-Autoregressive Modeling
par: Ren, Shuhuai, et autres
Publié: (2025)