:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Narayanan, Athmanarayanan Lakshmi, Krishnan, Ranganath, Machireddy, Amrutha, Subedar, Mahesh
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2406.09296
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimizing Active Learning in Vision-Language Models via Parameter-Efficient Uncertainty Calibration
by: Narayanan, Athmanarayanan Lakshmi, et al.
Published: (2025)

Synthetic Data Generation for Long-Tail Medical Image Classification: A Case Study in Skin Lesions
by: Jiang, Jiaxiang, et al.
Published: (2026)

Where Bits Matter in World Model Planning: A Paired Mixed-Bit Study for Efficient Spatial Reasoning
by: Ranganath, Suraj, et al.
Published: (2026)

FairLLaVA: Fairness-Aware Parameter-Efficient Fine-Tuning for Large Vision-Language Assistants
by: Bhosale, Mahesh, et al.
Published: (2026)

Benchmarking Foundation Models and Parameter-Efficient Fine-Tuning for Prognosis Prediction in Medical Imaging
by: Ruffini, Filippo, et al.
Published: (2025)

TAP-SLF: Parameter-Efficient Adaptation of Vision Foundation Models for Multi-Task Ultrasound Image Analysis
by: Wan, Hui, et al.
Published: (2026)

Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
by: Saporta, Adriel, et al.
Published: (2024)

Multimodal Parameter-Efficient Few-Shot Class Incremental Learning
by: D'Alessandro, Marco, et al.
Published: (2023)

SPUS: A Lightweight and Parameter-Efficient Foundation Model for PDEs
by: Siddik, Abu Bucker, et al.
Published: (2025)

CST: Calibration Side-Tuning for Parameter and Memory Efficient Transfer Learning
by: Chen, Feng
Published: (2024)

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets
by: Chen, Hao, et al.
Published: (2022)

NAS-LoRA: Empowering Parameter-Efficient Fine-Tuning for Visual Foundation Models with Searchable Adaptation
by: Chen, Renqi, et al.
Published: (2025)

Artery-Vein Segmentation from Fundus Images using Deep Learning
by: SK, Sharan, et al.
Published: (2025)

Evaluating point-light biological motion in multimodal large language models
by: Kadambi, Akila, et al.
Published: (2025)

Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models
by: Long, Jiahuan, et al.
Published: (2025)

YOLOv8-Based Deep Learning Model for Automated Poultry Disease Detection and Health Monitoring paper
by: Sabbella, Akhil Saketh Reddy, et al.
Published: (2025)

Improved Anomaly Detection in Medical Images via Mean Shift Density Enhancement
by: Kar, Pritam, et al.
Published: (2026)

HydroVision: Predicting Optically Active Parameters in Surface Water Using Computer Vision
by: Deshmukh, Shubham Laxmikant, et al.
Published: (2025)

Efficient Parameter Mining and Freezing for Continual Object Detection
by: Menezes, Angelo G., et al.
Published: (2024)

Faster Parameter-Efficient Tuning with Token Redundancy Reduction
by: Kim, Kwonyoung, et al.
Published: (2025)

ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization
by: Nguyen, Hong, et al.
Published: (2024)

FunduSegmenter: Leveraging the RETFound Foundation Model for Joint Optic Disc and Optic Cup Segmentation in Retinal Fundus Images
by: Zhao, Zhenyi, et al.
Published: (2025)

An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning
by: Jin, Chen, et al.
Published: (2023)

Exploring Efficient Foundational Multi-modal Models for Video Summarization
by: Samel, Karan, et al.
Published: (2024)

A Deployment-Friendly Foundational Framework for Efficient Computational Pathology
by: Cai, Yu, et al.
Published: (2026)

Low-rank Attention Side-Tuning for Parameter-Efficient Fine-Tuning
by: Tang, Ningyuan, et al.
Published: (2024)

AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit Detectors
by: Yuan, Kaishen, et al.
Published: (2024)

Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity
by: Dutt, Raman, et al.
Published: (2023)

Focused Active Learning for Histopathological Image Classification
by: Schmidt, Arne, et al.
Published: (2024)

Multi-Modal Parameter-Efficient Fine-tuning via Graph Neural Network
by: Cheng, Bin, et al.
Published: (2024)

A Parameter-Efficient Mixture-of-Experts Framework for Cross-Modal Geo-Localization
by: Li, LinFeng, et al.
Published: (2025)

SmolRGPT: Efficient Spatial Reasoning for Warehouse Environments with 600M Parameters
by: Traore, Abdarahmane, et al.
Published: (2025)

Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks
by: Baker, Nermeen Abou, et al.
Published: (2026)

Leveraging Text Guidance for Enhancing Demographic Fairness in Gender Classification
by: Krishnan, Anoop
Published: (2025)

LARGO: Low-Rank Regulated Gradient Projection for Robust Parameter Efficient Fine-Tuning
by: Zhang, Haotian, et al.
Published: (2025)

SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels
by: Zhao, Henry Hengyuan, et al.
Published: (2023)

PTQAT: A Hybrid Parameter-Efficient Quantization Algorithm for 3D Perception Tasks
by: Wang, Xinhao, et al.
Published: (2025)

Deep Active Learning with Manifold-preserving Trajectory Sampling
by: Ji, Yingrui, et al.
Published: (2024)

ACIL: Active Class Incremental Learning for Image Classification
by: Bhattacharya, Aditya R., et al.
Published: (2026)

Integrating Semi-Supervised and Active Learning for Semantic Segmentation
by: Ma, Wanli, et al.
Published: (2025)