Cover Image

Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ignat, Oana, Bai, Longju, Nwatu, Joan, Mihalcea, Rada
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Culture Affordance Atlas: Reconciling Object Diversity Through Functional Mapping
by: Nwatu, Joan, et al.
Published: (2025)

Uplifting Lower-Income Data: Strategies for Socioeconomic Perspective Shifts in Large Multi-modal Models
by: Nwatu, Joan, et al.
Published: (2024)

The Power of Many: Multi-Agent Multimodal Models for Cultural Image Captioning
by: Bai, Longju, et al.
Published: (2024)

Human Action Co-occurrence in Lifestyle Vlogs using Graph Link Prediction
by: Ignat, Oana, et al.
Published: (2023)

MAiDE-up: Multilingual Deception Detection of GPT-generated Hotel Reviews
by: Ignat, Oana, et al.
Published: (2024)

Cross-cultural Inspiration Detection and Analysis in Real and LLM-generated Social Media Data
by: Ignat, Oana, et al.
Published: (2024)

Beyond Translation: Cross-Cultural Meme Transcreation with Vision-Language Models
by: Zhao, Yuming, et al.
Published: (2026)

Towards Algorithmic Fidelity: Mental Health Representation across Demographics in Synthetic vs. Human-generated Data
by: Mori, Shinka, et al.
Published: (2024)

Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions
by: Parmar, Mihir, et al.
Published: (2022)

ControlText: Unlocking Controllable Fonts in Multilingual Text Rendering without Font Annotations
by: Jiang, Bowen, et al.
Published: (2025)

MAVEN A Multi-Agent Framework for Multicultural Text-to-Video Generation
by: Li, Shuowei, et al.
Published: (2026)

When Cultures Meet: Multicultural Text-to-Image Generation
by: Bhalerao, Parth, et al.
Published: (2025)

MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing
by: Zhang, Kai, et al.
Published: (2023)

YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models
by: Nandy, Abhilash, et al.
Published: (2024)

Manga109-v2026: Revisiting Manga109 Annotations for Modern Manga Understanding
by: Baek, Jeonghun, et al.
Published: (2026)

DermaBench: A Clinician-Annotated Benchmark Dataset for Dermatology Visual Question Answering and Reasoning
by: Yilmaz, Abdurrahim, et al.
Published: (2026)

Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs
by: Deng, Naihao, et al.
Published: (2024)

Avoid Wasted Annotation Costs in Open-set Active Learning with Pre-trained Vision-Language Model
by: Heo, Jaehyuk, et al.
Published: (2024)

Not There Yet: Evaluating Vision Language Models in Simulating the Visual Perception of People with Low Vision
by: Natalie, Rosiana, et al.
Published: (2025)

Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations
by: Rawlekar, Samyak, et al.
Published: (2024)

CLoVe: Encoding Compositional Language in Contrastive Vision-Language Models
by: Castro, Santiago, et al.
Published: (2024)

Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training?
by: Zhang, Tiezheng, et al.
Published: (2024)

Reverse Region-to-Entity Annotation for Pixel-Level Visual Entity Linking
by: Xu, Zhengfei, et al.
Published: (2024)

Annotated Hands for Generative Models
by: Yang, Yue, et al.
Published: (2024)

Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data
by: Chou, Yu-Cheng, et al.
Published: (2023)

GRR-CoCa: Leveraging LLM Mechanisms in Multimodal Model Architectures
by: Patock, Jake R., et al.
Published: (2025)

Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models
by: Yang, Yuncheng, et al.
Published: (2024)

MPN: Leveraging Multilingual Patch Neuron for Cross-lingual Model Editing
by: Si, Nianwen, et al.
Published: (2024)

Pre-Trained Vision-Language Models as Partial Annotators
by: Wang, Qian-Wei, et al.
Published: (2024)

CoPE-VideoLM: Leveraging Codec Primitives For Efficient Video Language Modeling
by: Sarkar, Sayan Deb, et al.
Published: (2026)

VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context
by: Li, Yunxin, et al.
Published: (2024)

GLSim: Detecting Object Hallucinations in LVLMs via Global-Local Similarity
by: Park, Seongheon, et al.
Published: (2025)

The Cost of Language: Centroid Erasure Exposes and Exploits Modal Competition in Multimodal Language Models
by: Paruchuri, Akshay, et al.
Published: (2026)

DeVAn: Dense Video Annotation for Video-Language Models
by: Liu, Tingkai, et al.
Published: (2023)

HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities
by: Dönmez, Esra, et al.
Published: (2026)

Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations
by: Tschirschwitz, David, et al.
Published: (2024)

Expansion Quantization Network: An Efficient Micro-emotion Annotation and Detection Framework
by: Zhou, Jingyi, et al.
Published: (2024)

Human-in-the-Loop Annotation for Image-Based Engagement Estimation: Assessing the Impact of Model Reliability on Annotation Accuracy
by: Subramanya, Sahana Yadnakudige, et al.
Published: (2025)

Leveraging LLMs for On-the-Fly Instruction Guided Image Editing
by: Santos, Rodrigo, et al.
Published: (2024)

Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation for Deep Learning Model Development
by: Sapkota, Ranjan, et al.
Published: (2024)