Cover Image

Privacy Preserving Ordinal-Meta Learning with VLMs for Fine-Grained Fruit Quality Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jain, Riddhi, Patwardhan, Manasi, Mishra, Aayush, Deshpande, Parijat, Rai, Beena
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Thought-For-Food: Reasoning Chain Induced Food Visual Question Answering
by: Jain, Riddhi, et al.
Published: (2025)

Quality Detection of Stored Potatoes via Transfer Learning: A CNN and Vision Transformer Approach
by: Kapse, Shrikant, et al.
Published: (2026)

Vision-based module for accurately reading linear scales in a laboratory
by: Saini, Parvesh, et al.
Published: (2025)

StegaFFD: Privacy-Preserving Face Forgery Detection via Fine-Grained Steganographic Domain Lifting
by: Ma, Guoqing, et al.
Published: (2026)

Can VLMs Detect and Localize Fine-Grained AI-Edited Images?
by: Sun, Zhen, et al.
Published: (2025)

Beyond the Pixels: VLM-based Evaluation of Identity Preservation in Reference-Guided Synthesis
by: Singhania, Aditi, et al.
Published: (2025)

SciMDR: Advancing Scientific Multimodal Document Reasoning
by: Chen, Ziyu, et al.
Published: (2026)

ConsistentID: Portrait Generation with Multimodal Fine-Grained Identity Preserving
by: Huang, Jiehui, et al.
Published: (2024)

FruitProM-V2: Robust Probabilistic Maturity Estimation and Detection of Fruits and Vegetables
by: Cheppally, Rahul Harsha, et al.
Published: (2026)

Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning
by: Pan, Zhixin, et al.
Published: (2024)

Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation
by: Kaushik, Prakhar, et al.
Published: (2024)

Finer-Personalization Rank: Fine-Grained Retrieval Examines Identity Preservation for Personalized Generation
by: Kilrain, Connor, et al.
Published: (2025)

Deep Fusion Model for Brain Tumor Classification Using Fine-Grained Gradient Preservation
by: Islam, Niful, et al.
Published: (2024)

MetaSpatial: Reinforcing 3D Spatial Reasoning in VLMs for the Metaverse
by: Pan, Zhenyu, et al.
Published: (2025)

Towards Privacy-Preserving Fine-Grained Visual Classification via Hierarchical Learning from Label Proportions
by: Chang, Jinyi, et al.
Published: (2025)

DragonFruitQualityNet: A Lightweight Convolutional Neural Network for Real-Time Dragon Fruit Quality Inspection on Mobile Devices
by: Haquea, Md Zahurul, et al.
Published: (2025)

FruitEnsemble: MLLM-Guided Arbitration for Heterogeneous ensemble in Fine-Grained Fruit Recognition
by: Yu, Enhui, et al.
Published: (2026)

SycoPhantasy: Quantifying Sycophancy and Hallucination in Small Open Weight VLMs for Vision-Language Scoring of Fantasy Characters
by: Shah, Arya, et al.
Published: (2026)

Trust the Model: Compact VLMs as In-Context Judges for Image-Text Data Quality
by: Toibazar, Daulet, et al.
Published: (2025)

Federated Learning for Privacy-Preserving Medical AI
by: Hoang, Tin
Published: (2026)

Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction
by: Li, Yansheng, et al.
Published: (2024)

Activating Visual Context and Commonsense Reasoning through Masked Prediction in VLMs
by: Yu, Jiaao, et al.
Published: (2025)

Taming Identity Consistency and Prompt Diversity in Diffusion Models via Latent Concatenation and Masked Conditional Flow Matching
by: Singhania, Aditi, et al.
Published: (2025)

Enhancing Self-Supervised Fine-Grained Video Object Tracking with Dynamic Memory Prediction
by: Zhou, Zihan, et al.
Published: (2025)

Empowering Morphing Attack Detection using Interpretable Image-Text Foundation Model
by: Patwardhan, Sushrut, et al.
Published: (2025)

Safety Assessment of Scaffolding on Construction Site using AI
by: Prabhu, Sameer, et al.
Published: (2025)

Effective Fine-Tuning of Vision Transformers with Low-Rank Adaptation for Privacy-Preserving Image Classification
by: Lin, Haiwei, et al.
Published: (2025)

Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs
by: Shen, Yifan, et al.
Published: (2025)

VLMs have Tunnel Vision: Evaluating Nonlocal Visual Reasoning in Leading VLMs
by: Berman, Shmuel, et al.
Published: (2025)

ReVision: A Dataset and Baseline VLM for Privacy-Preserving Task-Oriented Visual Instruction Rewriting
by: Mishra, Abhijit, et al.
Published: (2025)

Unified Knowledge Distillation Framework: Fine-Grained Alignment and Geometric Relationship Preservation for Deep Face Recognition
by: Mishra, Durgesh, et al.
Published: (2025)

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems
by: Karan, Aayush, et al.
Published: (2025)

Fine-Grained Urban Flow Inference with Multi-scale Representation Learning
by: Yuan, Shilu, et al.
Published: (2024)

TAPS : Frustratingly Simple Test Time Active Learning for VLMs
by: Sarkar, Dhruv, et al.
Published: (2025)

Glo-VLMs: Leveraging Vision-Language Models for Fine-Grained Diseased Glomerulus Classification
by: Guo, Zhenhao, et al.
Published: (2025)

Lens Privacy Sealing: A New Benchmark and Method for Physical Privacy-Preserving Action Recognition
by: Liu, Mengyuan, et al.
Published: (2026)

Preserving Localized Patch Semantics in VLMs
by: Esmaeilkhani, Parsa, et al.
Published: (2026)

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields
by: Yun, Junhyeog, et al.
Published: (2025)

Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality
by: Oh, Youngtaek, et al.
Published: (2024)

Privacy-Preserving SAM Quantization for Efficient Edge Intelligence in Healthcare
by: Li, Zhikai, et al.
Published: (2024)