Copertina

Automated Segmentation and Tracking of Group Housed Pigs Using Foundation Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bi, Ye, Acharya, Bimala, Rosero, David, Steibel, Juan
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Foundation Models for Amodal Video Instance Segmentation in Automated Driving
di: Breitenstein, Jasmin, et al.
Pubblicazione: (2024)

Continual Alignment for SAM: Rethinking Foundation Models for Medical Image Segmentation in Continual Learning
di: Wang, Jiayi, et al.
Pubblicazione: (2025)

Iris-SAM: Iris Segmentation Using a Foundation Model
di: Farmanifard, Parisa, et al.
Pubblicazione: (2024)

Image Segmentation in Foundation Model Era: A Survey
di: Zhou, Tianfei, et al.
Pubblicazione: (2024)

Depthwise-Dilated Convolutional Adapters for Medical Object Tracking and Segmentation Using the Segment Anything Model 2
di: Xu, Guoping, et al.
Pubblicazione: (2025)

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models
di: Amini, Kooshan, et al.
Pubblicazione: (2025)

Are Vision Foundation Models Foundational for Electron Microscopy Image Segmentation?
di: Fuster-Barceló, Caterina, et al.
Pubblicazione: (2026)

OBSeg: Accurate and Fast Instance Segmentation Framework Using Segmentation Foundation Models with Oriented Bounding Box Prompts
di: Zhou, Zhen, et al.
Pubblicazione: (2024)

Robustness Analysis on Foundational Segmentation Models
di: Schiappa, Madeline Chantry, et al.
Pubblicazione: (2023)

ZISVFM: Zero-Shot Object Instance Segmentation in Indoor Robotic Environments with Vision Foundation Models
di: Zhang, Ying, et al.
Pubblicazione: (2025)

Segment-Level Road Obstacle Detection Using Visual Foundation Model Priors and Likelihood Ratios
di: Shoeb, Youssef, et al.
Pubblicazione: (2024)

Enjoying Information Dividend: Gaze Track-based Medical Weakly Supervised Segmentation
di: Wang, Zhisong, et al.
Pubblicazione: (2025)

Automated Segmentation and Analysis of Microscopy Images of Laser Powder Bed Fusion Melt Tracks
di: Shah, Aagam, et al.
Pubblicazione: (2024)

Online Long-term Point Tracking in the Foundation Model Era
di: Aydemir, Görkay
Pubblicazione: (2025)

Tracking the Spatiotemporal Evolution of Landslide Scars Using a Vision Foundation Model: A Novel and Universal Framework
di: Zhou, Meijun, et al.
Pubblicazione: (2025)

Using Foundation Models as Pseudo-Label Generators for Pre-Clinical 4D Cardiac CT Segmentation
di: Rickmann, Anne-Marie, et al.
Pubblicazione: (2025)

Benchmarking Computational Pathology Foundation Models For Semantic Segmentation
di: Ramchandani, Lavish, et al.
Pubblicazione: (2026)

Annotation Free Semantic Segmentation with Vision Foundation Models
di: Seifi, Soroush, et al.
Pubblicazione: (2024)

Training-Free Out-Of-Distribution Segmentation With Foundation Models
di: Nayal, Laith, et al.
Pubblicazione: (2025)

Foundation Models for Biomedical Image Segmentation: A Survey
di: Lee, Ho Hin, et al.
Pubblicazione: (2024)

Active Label Correction for Semantic Segmentation with Foundation Models
di: Kim, Hoyoung, et al.
Pubblicazione: (2024)

DINO in the Room: Leveraging 2D Foundation Models for 3D Segmentation
di: Knaebel, Karim, et al.
Pubblicazione: (2025)

Automated Prostate Gland Segmentation in MRI Using nnU-Net
di: Rodriguez-Belenguer, Pablo, et al.
Pubblicazione: (2026)

Enhancing Video Object Segmentation in TrackRAD Using XMem Memory Network
di: Deng, Pengchao, et al.
Pubblicazione: (2025)

SAM3-Assisted Training of Lightweight YOLO Models for Precision Pig Farming
di: Faria, Marcos Vinicius Mendes, et al.
Pubblicazione: (2026)

Segment Anything for Cell Tracking
di: Chen, Zhu, et al.
Pubblicazione: (2025)

Can Visual Foundation Models Achieve Long-term Point Tracking?
di: Aydemir, Görkay, et al.
Pubblicazione: (2024)

MedSeqFT: Sequential Fine-tuning Foundation Models for 3D Medical Image Segmentation
di: Ye, Yiwen, et al.
Pubblicazione: (2025)

SAMPO-Path: Segmentation Intent-Aligned Preference Optimization for Pathology Foundation Model Segmentation
di: Wu, Yonghuang, et al.
Pubblicazione: (2025)

Benchmarking Human and Automated Prompting in the Segment Anything Model
di: Quesada, Jorge, et al.
Pubblicazione: (2024)

Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping
di: Li, Wenwen, et al.
Pubblicazione: (2024)

Tuning Vision Foundation Model via Test-Time Prompt-Guided Training for VFSS Segmentations
di: Zeng, Chengxi, et al.
Pubblicazione: (2025)

Foundation Model-guided Iteratively Prompting and Pseudo-Labeling for Partially Labeled Medical Image Segmentation
di: Zhao, Qiaochu, et al.
Pubblicazione: (2026)

PLUG: Revisiting Amodal Segmentation with Foundation Model and Hierarchical Focus
di: Liu, Zhaochen, et al.
Pubblicazione: (2024)

Adapting a Segmentation Foundation Model for Medical Image Classification
di: Gu, Pengfei, et al.
Pubblicazione: (2025)

TAViS: Text-bridged Audio-Visual Segmentation with Foundation Models
di: Luo, Ziyang, et al.
Pubblicazione: (2025)

GCA-ResUNet: Medical Image Segmentation Using Grouped Coordinate Attention
di: Ding, Jun, et al.
Pubblicazione: (2025)

Zero-shot Hierarchical Plant Segmentation via Foundation Segmentation Models and Text-to-image Attention
di: Xing, Junhao, et al.
Pubblicazione: (2025)

Few-Shot Panoptic Segmentation With Foundation Models
di: Käppeler, Markus, et al.
Pubblicazione: (2023)

Vision-Language Foundation Models for Comprehensive Automated Pavement Condition Assessment
di: Kyem, Blessing Agyei, et al.
Pubblicazione: (2026)