Imagen de Portada

Scaling Up Forest Vision with Synthetic Data

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	She, Yihang, Blake, Andrew, Coomes, David, Keshav, Srinivasan
Formato:	Preprint
Publicado:	2025
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

Embedding -based Crop Type Classification in the Groundnut Basin of Senegal
por: Lisaius, Madeline C., et al.
Publicado: (2026)

SynFlow: Scaling Up LiDAR Scene Flow Estimation with Synthetic Data
por: Zhang, Qingwen, et al.
Publicado: (2026)

3D Vision and Language Pretraining with Large-Scale Synthetic Data
por: Yang, Dejie, et al.
Publicado: (2024)

Interpolation of GEDI Biomass Estimates with Calibrated Uncertainty Quantification
por: Young, Robin, et al.
Publicado: (2026)

ForestSim: A Synthetic Benchmark for Intelligent Vehicle Perception in Unstructured Forest Environments
por: Wagle, Pragat, et al.
Publicado: (2026)

MultiRetNet: A Multimodal Vision Model and Deferral System for Staging Diabetic Retinopathy
por: She, Jeannie, et al.
Publicado: (2025)

Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data
por: Li, Haoxin, et al.
Publicado: (2025)

DAViD: Data-efficient and Accurate Vision Models from Synthetic Data
por: Saleh, Fatemeh, et al.
Publicado: (2025)

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data
por: Jiang, Hanwen, et al.
Publicado: (2024)

Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data
por: Chen, Qi, et al.
Publicado: (2025)

SARFormer -- An Acquisition Parameter Aware Vision Transformer for Synthetic Aperture Radar Data
por: Prexl, Jonathan, et al.
Publicado: (2025)

A Calibration Tool for Refractive Underwater Vision
por: Seegräber, Felix, et al.
Publicado: (2024)

Few-Shot Synthetic Data Generation with Diffusion Models for Downstream Vision Tasks
por: Dushenev, Daniil, et al.
Publicado: (2026)

Synthetica: Large Scale Synthetic Data for Robot Perception
por: Singh, Ritvik, et al.
Publicado: (2024)

Granularity-Aware Transfer for Tree Instance Segmentation in Synthetic and Real Forests
por: Deoli, Pankaj, et al.
Publicado: (2026)

Synth-Align: Improving Trustworthiness in Vision-Language Model with Synthetic Preference Data Alignment
por: Wijaya, Robert, et al.
Publicado: (2024)

Revisiting KRISP: A Lightweight Reproduction and Analysis of Knowledge-Enhanced Vision-Language Models
por: Dutta, Souradeep, et al.
Publicado: (2025)

Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation
por: Yang, Yue, et al.
Publicado: (2025)

Taccel: Scaling Up Vision-based Tactile Robotics via High-performance GPU Simulation
por: Li, Yuyang, et al.
Publicado: (2025)

AnySynth: Harnessing the Power of Image Synthetic Data Generation for Generalized Vision-Language Tasks
por: Li, You, et al.
Publicado: (2024)

Scaling Down to Scale Up: Towards Operationally-Efficient and Deployable Clinical Models via Cross-Modal Low-Rank Adaptation for Medical Vision-Language Models
por: Alzubaidi, Thuraya, et al.
Publicado: (2025)

Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
por: Roy, Shuvendu, et al.
Publicado: (2023)

Federated Vision Transformer with Adaptive Focal Loss for Medical Image Classification
por: Zhao, Xinyuan, et al.
Publicado: (2026)

Scaling Up Dynamic Human-Scene Interaction Modeling
por: Jiang, Nan, et al.
Publicado: (2024)

Scaling Human Activity Recognition: A Comparative Evaluation of Synthetic Data Generation and Augmentation Techniques
por: Leng, Zikang, et al.
Publicado: (2025)

UnrealPose: Leveraging Game Engine Kinematics for Large-Scale Synthetic Human Pose Data
por: Kawaguchi, Joshua, et al.
Publicado: (2026)

SMIR: Efficient Synthetic Data Pipeline To Improve Multi-Image Reasoning
por: Li, Andrew, et al.
Publicado: (2025)

Fake & Square: Training Self-Supervised Vision Transformers with Synthetic Data and Synthetic Hard Negatives
por: Giakoumoglou, Nikolaos, et al.
Publicado: (2025)

Synthetic Data is an Elegant GIFT for Continual Vision-Language Models
por: Wu, Bin, et al.
Publicado: (2025)

Scaling Backwards: Minimal Synthetic Pre-training?
por: Nakamura, Ryo, et al.
Publicado: (2024)

UE5-Forest: A Photorealistic Synthetic Stereo Dataset for UAV Forestry Depth Estimation
por: Lin, Yida, et al.
Publicado: (2026)

Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
por: Yu, Fanghua, et al.
Publicado: (2024)

SynPlay: Large-Scale Synthetic Human Data with Real-World Diversity for Aerial-View Perception
por: Yim, Jinsub, et al.
Publicado: (2024)

EchoVLM: Dynamic Mixture-of-Experts Vision-Language Model for Universal Ultrasound Intelligence
por: She, Chaoyin, et al.
Publicado: (2025)

CloseUpAvatar: High-Fidelity Animatable Full-Body Avatars with Mixture of Multi-Scale Textures
por: Svitov, David, et al.
Publicado: (2025)

Sakuga-42M Dataset: Scaling Up Cartoon Research
por: Pan, Zhenglin
Publicado: (2024)

Scaling Up Video Summarization Pretraining with Large Language Models
por: Argaw, Dawit Mureja, et al.
Publicado: (2024)

Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
por: Feng, Yihong, et al.
Publicado: (2025)

DanQing: An Up-to-Date Large-Scale Chinese Vision-Language Pre-training Dataset
por: Shen, Hengyu, et al.
Publicado: (2026)

Large-Scale Label Quality Assessment for Medical Segmentation via a Vision-Language Judge and Synthetic Data
por: Chen, Yixiong, et al.
Publicado: (2026)