Imagen de Portada

Supervised Learning Model for Key Frame Identification from Cow Teat Videos

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Minghao, Lin, Pinxue
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning Image and Video Processing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Self-attention Residual Convolutional Neural Network for Health Condition Classification of Cow Teat Images
por: Wang, Minghao
Publicado: (2024)

Leveraging Self-Supervised Learning for Fetal Cardiac Planes Classification using Ultrasound Scan Videos
por: Benjamin, Joseph Geo, et al.
Publicado: (2024)

Joint Self-Supervised and Supervised Contrastive Learning for Multimodal MRI Data: Towards Predicting Abnormal Neurodevelopment
por: Li, Zhiyuan, et al.
Publicado: (2023)

The Protocol Genome A Self Supervised Learning Framework from DICOM Headers
por: Joseph, Jimmy
Publicado: (2025)

A Comprehensive Survey on Deep-Learning-based Vehicle Re-Identification: Models, Data Sets and Challenges
por: Amiri, Ali, et al.
Publicado: (2024)

Diagnosis and Severity Assessment of Ulcerative Colitis using Self Supervised Learning
por: Margapuri, Venkat
Publicado: (2024)

Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning
por: Huang, Zhe, et al.
Publicado: (2023)

Interactive Generation of Laparoscopic Videos with Diffusion Models
por: Iliash, Ivan, et al.
Publicado: (2024)

MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray Self-Supervised Representation Learning
por: Singh, Azad, et al.
Publicado: (2024)

Quantized Keys Steal Attention: Bias Correction for KV-Cache Compression in Video Diffusion
por: Tuncer, Tuna, et al.
Publicado: (2026)

Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images
por: Kim, JungEun, et al.
Publicado: (2024)

Very High-Resolution Forest Mapping with TanDEM-X InSAR Data and Self-Supervised Learning
por: Bueso-Bello, José-Luis, et al.
Publicado: (2025)

Direct Video-Based Spatiotemporal Deep Learning for Cattle Lameness Detection
por: Sohan, Md Fahimuzzman, et al.
Publicado: (2025)

Magnification-Aware Distillation (MAD): A Self-Supervised Framework for Unified Representation Learning in Gigapixel Whole-Slide Images
por: Gokmen, Mahmut S., et al.
Publicado: (2025)

Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT
por: Chakravarty, Arunava, et al.
Publicado: (2023)

Efficient Sequential Neural Network with Spatial-Temporal Attention and Linear LSTM for Robust Lane Detection Using Multi-Frame Images
por: Patil, Sandeep, et al.
Publicado: (2026)

MedNeXt-v2: Scaling 3D ConvNeXts for Large-Scale Supervised Representation Learning in Medical Image Segmentation
por: Roy, Saikat, et al.
Publicado: (2025)

A Feature-Level Ensemble Model for COVID-19 Identification in CXR Images using Choquet Integral and Differential Evolution Optimization
por: Takhsha, Amir Reza, et al.
Publicado: (2025)

SAW: Toward a Surgical Action World Model via Controllable and Scalable Video Generation
por: Rapuri, Sampath, et al.
Publicado: (2026)

CIM-NET: A Video Denoising Deep Neural Network Model Optimized for Computing-in-Memory Architectures
por: Gao, Shan, et al.
Publicado: (2025)

Learning Physics-Informed Noise Models from Dark Frames for Low-Light Raw Image Denoising
por: Feng, Hansen, et al.
Publicado: (2023)

Learning Illumination Control in Diffusion Models
por: Anand, Nishit, et al.
Publicado: (2026)

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity
por: Wang, Hongjie, et al.
Publicado: (2024)

Adversarial Robustness of Deep Learning Models for Inland Water Body Segmentation from SAR Images
por: Kothari, Siddharth, et al.
Publicado: (2025)

DiffSR: Learning Radar Reflectivity Synthesis via Diffusion Model from Satellite Observations
por: He, Xuming, et al.
Publicado: (2024)

Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning
por: Dong, Yongqi, et al.
Publicado: (2023)

Towards Controllable Video Synthesis of Routine and Rare OR Events
por: Schneider, Dominik, et al.
Publicado: (2026)

The Devil is in the Prompts: De-Identification Traces Enhance Memorization Risks in Synthetic Chest X-Ray Generation
por: Dutt, Raman
Publicado: (2025)

Grounding Degradations in Natural Language for All-In-One Video Restoration
por: Janjua, Muhammad Kamran, et al.
Publicado: (2025)

StreamDiT: Real-Time Streaming Text-to-Video Generation
por: Kodaira, Akio, et al.
Publicado: (2025)

MEGAN: Mixture of Experts for Robust Uncertainty Estimation in Endoscopy Videos
por: Agbelese, Damola, et al.
Publicado: (2025)

Optical-Flow Guided Prompt Optimization for Coherent Video Generation
por: Nam, Hyelin, et al.
Publicado: (2024)

Neural Video Compression using 2D Gaussian Splatting
por: Gupta, Lakshya, et al.
Publicado: (2025)

Optimizing Contrail Detection: A Deep Learning Approach with EfficientNet-b4 Encoding
por: Lin, Qunwei, et al.
Publicado: (2024)

Explainable and Controllable Motion Curve Guided Cardiac Ultrasound Video Generation
por: Yu, Junxuan, et al.
Publicado: (2024)

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models
por: Osuala, Richard, et al.
Publicado: (2024)

Understanding and Improving Transfer Learning of Deep Models via Neural Collapse
por: Li, Xiao, et al.
Publicado: (2022)

Semantic-Aware Adaptive Video Streaming Using Latent Diffusion Models for Wireless Networks
por: Yan, Zijiang, et al.
Publicado: (2025)

Arges: Spatio-Temporal Transformer for Ulcerative Colitis Severity Assessment in Endoscopy Videos
por: Chaitanya, Krishna, et al.
Publicado: (2024)

Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection
por: Habchi, Yassine, et al.
Publicado: (2025)