Imagen de Portada

Learning to Detect Baked Goods with Limited Supervision

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Schmitt, Thomas H., Bundscherer, Maximilian, Bocklet, Tobias
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Semmeldetector: Application of Machine Learning in Commercial Bakeries
por: Schmitt, Thomas H., et al.
Publicado: (2024)

Machine Learning in Industrial Quality Control of Glass Bottle Prints
por: Bundscherer, Maximilian, et al.
Publicado: (2024)

Training a Computer Vision Model for Commercial Bakeries with Primarily Synthetic Images
por: Schmitt, Thomas H., et al.
Publicado: (2024)

Segmenting Wood Rot using Computer Vision Models
por: Kammerbauer, Roland, et al.
Publicado: (2024)

Shared Multi-modal Embedding Space for Face-Voice Association
por: Simic, Christopher, et al.
Publicado: (2025)

Cross-Domain Learning for Video Anomaly Detection with Limited Supervision
por: Jain, Yashika, et al.
Publicado: (2024)

Volumetric Rendering with Baked Quadrature Fields
por: Sharma, Gopal, et al.
Publicado: (2023)

Digital Operating Mode Classification of Real-World Amateur Radio Transmissions
por: Bundscherer, Maximilian, et al.
Publicado: (2025)

Baking Relightable NeRF for Real-time Direct/Indirect Illumination Rendering
por: Choi, Euntae, et al.
Publicado: (2024)

Leveraging Self-Supervised Instance Contrastive Learning for Radar Object Detection
por: Decourt, Colin, et al.
Publicado: (2024)

Semi- and Weakly-Supervised Learning for Mammogram Mass Segmentation with Limited Annotations
por: Xiong, Xinyu, et al.
Publicado: (2024)

SenPa-MAE: Sensor Parameter Aware Masked Autoencoder for Multi-Satellite Self-Supervised Pretraining
por: Prexl, Jonathan, et al.
Publicado: (2024)

FlexAvatar: Learning Complete 3D Head Avatars with Partial Supervision
por: Kirschstein, Tobias, et al.
Publicado: (2025)

Cardiac Output Prediction from Echocardiograms: Self-Supervised Learning with Limited Data
por: Duarte, Adson, et al.
Publicado: (2026)

PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly Detection and Segmentation
por: Zhang, Jian, et al.
Publicado: (2023)

Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images
por: Bernhard, Maximilian, et al.
Publicado: (2024)

MTFL: Multi-Timescale Feature Learning for Weakly-Supervised Anomaly Detection in Surveillance Videos
por: Zhang, Yiling, et al.
Publicado: (2024)

Self-Supervised Learning for Knee Osteoarthritis: Diagnostic Limitations and Prognostic Value of Hospital Data
por: Rajamohan, Haresh Rengaraj, et al.
Publicado: (2026)

Self-Supervised Representation Learning for Adversarial Attack Detection
por: Li, Yi, et al.
Publicado: (2024)

Virtual Category Learning: A Semi-Supervised Learning Method for Dense Prediction with Extremely Limited Labels
por: Chen, Changrui, et al.
Publicado: (2023)

Exploring the Limits of End-to-End Feature-Affinity Propagation for Single-Point Supervised Infrared Small Target Detection
por: Zhou, Qiancheng, et al.
Publicado: (2026)

Self-Supervised Learning for Detecting AI-Generated Faces as Anomalies
por: Zou, Mian, et al.
Publicado: (2025)

Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
por: Zhu, Jiawen, et al.
Publicado: (2023)

Learning Event Completeness for Weakly Supervised Video Anomaly Detection
por: Wang, Yu, et al.
Publicado: (2025)

Atom-Level Optical Chemical Structure Recognition with Limited Supervision
por: Oldenhof, Martijn, et al.
Publicado: (2024)

Self-Supervised Learning for Real-World Object Detection: a Survey
por: Ciocarlan, Alina, et al.
Publicado: (2024)

CONSULT: Contrastive Self-Supervised Learning for Few-shot Tumor Detection
por: Chin, Sin Chee, et al.
Publicado: (2024)

Single-Temporal Supervised Learning for Universal Remote Sensing Change Detection
por: Zheng, Zhuo, et al.
Publicado: (2024)

Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection
por: Wang, Fuyun, et al.
Publicado: (2025)

Learning Weakly Supervised Audio-Visual Violence Detection in Hyperbolic Space
por: Peng, Xiaogang, et al.
Publicado: (2023)

How to Identify Good Superpixels for Deforestation Detection on Tropical Rainforests
por: Borlido, Isabela, et al.
Publicado: (2024)

Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction
por: Cai, Yuanhao, et al.
Publicado: (2024)

Faster Training, Fewer Labels: Self-Supervised Pretraining for Fine-Grained BEV Segmentation
por: Busch, Daniel, et al.
Publicado: (2026)

Weakly Supervised Segmentation of Hyper-Reflective Foci with Compact Convolutional Transformers and SAM2
por: Morelle, Olivier, et al.
Publicado: (2025)

Exploring Limits of Diffusion-Synthetic Training with Weakly Supervised Semantic Segmentation
por: Yoshihashi, Ryota, et al.
Publicado: (2023)

Good Deep Features to Track: Self-Supervised Feature Extraction and Tracking in Visual Odometry
por: Gottam, Sai Puneeth Reddy, et al.
Publicado: (2025)

CloudMatch: Weak-to-Strong Consistency Learning for Semi-Supervised Cloud Detection
por: Zhao, Jiayi, et al.
Publicado: (2026)

Co-Learning: Towards Semi-Supervised Object Detection with Road-side Cameras
por: Yuan, Jicheng, et al.
Publicado: (2024)

Self-Supervised YOLO: Leveraging Contrastive Learning for Label-Efficient Object Detection
por: Kotthapalli, Manikanta, et al.
Publicado: (2025)

Learning Class Prototypes for Unified Sparse Supervised 3D Object Detection
por: Zhu, Yun, et al.
Publicado: (2025)