Cover Image

Extract More from Less: Efficient Fine-Grained Visual Recognition in Low-Data Regimes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Demidov, Dmitry, Shtanchaev, Abduragim, Mihaylov, Mihail, Almansoori, Mohammad
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Distilling Local Texture Features for Colorectal Tissue Classification in Low Data Regimes
by: Demidov, Dmitry, et al.
Published: (2024)

Thinking Beyond Labels: Vocabulary-Free Fine-Grained Recognition using Reasoning-Augmented LMMs
by: Demidov, Dmitry, et al.
Published: (2025)

Vocabulary-free Fine-grained Visual Recognition via Enriched Contextually Grounded Vision-Language Model
by: Demidov, Dmitry, et al.
Published: (2025)

Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization
by: Chapman, Avraham, et al.
Published: (2024)

Salient Mask-Guided Vision Transformer for Fine-Grained Classification
by: Demidov, Dmitry, et al.
Published: (2023)

Training-Free Fine-Grained Semantic Segmentations in Low Data Regimes: A FungiTastic Baseline
by: Cavada, Sebastian, et al.
Published: (2026)

On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition
by: Wang, Zihu, et al.
Published: (2024)

Less is More: High-value Data Selection for Visual Instruction Tuning
by: Liu, Zikang, et al.
Published: (2024)

Efficient Vocabulary-Free Fine-Grained Visual Recognition in the Age of Multimodal LLMs
by: Kuchibhotla, Hari Chandana, et al.
Published: (2025)

M2Former: Multi-Scale Patch Selection for Fine-Grained Visual Recognition
by: Moon, Jiyong, et al.
Published: (2023)

Geometry-Guided Self-Supervision for Ultra-Fine-Grained Recognition with Limited Data
by: Wang, Shijie, et al.
Published: (2026)

Beyond CNNs: Efficient Fine-Tuning of Multi-Modal LLMs for Object Detection on Low-Data Regimes
by: Elamon, Nirmal, et al.
Published: (2025)

Less is More: Efficient Point Cloud Reconstruction via Multi-Head Decoders
by: Alonso, Pedro, et al.
Published: (2025)

See More, Store Less: Memory-Efficient Resolution for Video Moment Retrieval
by: Jeon, Mingyu, et al.
Published: (2026)

Less is More: Decoder-Free Masked Modeling for Efficient Skeleton Representation Learning
by: Do, Jeonghyeok, et al.
Published: (2026)

Patch-Wise Self-Supervised Visual Representation Learning: A Fine-Grained Approach
by: Javidani, Ali, et al.
Published: (2023)

FOCUS: Internal MLLM Representations for Efficient Fine-Grained Visual Question Answering
by: Zhong, Liangyu, et al.
Published: (2025)

Free-Grained Hierarchical Visual Recognition
by: Park, Seulki, et al.
Published: (2025)

LoDisc: Learning Global-Local Discriminative Features for Self-Supervised Fine-Grained Visual Recognition
by: Shi, Jialu, et al.
Published: (2024)

XR-VLM: Cross-Relationship Modeling with Multi-part Prompts and Visual Features for Fine-Grained Recognition
by: Wang, Chuanming, et al.
Published: (2025)

Self-Supervised Pretraining for Fine-Grained Plankton Recognition
by: Kareinen, Joona, et al.
Published: (2025)

Less is More: Discovering Concise Network Explanations
by: Kondapaneni, Neehar, et al.
Published: (2024)

Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models
by: Kim, Jeonghwan, et al.
Published: (2024)

Mixture-of-Modality-Experts with Holistic Token Learning for Fine-Grained Multimodal Visual Analytics in Driver Action Recognition
by: Liu, Tianyi, et al.
Published: (2026)

Less Is More? Selective Visual Attention to High-Importance Regions for Multimodal Radiology Summarization
by: Naznin, Mst. Fahmida Sultana, et al.
Published: (2026)

SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement
by: Wang, Xiyao, et al.
Published: (2025)

Learning More by Seeing Less: Structure First Learning for Efficient, Transferable, and Human-Aligned Vision
by: Li, Tianqin, et al.
Published: (2025)

Micro-Expression Recognition via Fine-Grained Dynamic Perception
by: Shao, Zhiwen, et al.
Published: (2025)

Do Less, Achieve More: Do We Need Every-Step Optimization for RL Fine-tuning of Diffusion Models?
by: Yan, Renye, et al.
Published: (2026)

Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replay
by: Rezaei, Hossein, et al.
Published: (2024)

Exploration of Class Center for Fine-Grained Visual Classification
by: Yao, Hang, et al.
Published: (2024)

Towards Fine-Grained Recognition with Large Visual Language Models: Benchmark and Optimization Strategies
by: Pang, Cong, et al.
Published: (2025)

T2I-FineEval: Fine-Grained Compositional Metric for Text-to-Image Evaluation
by: Hosseini, Seyed Mohammad Hadi, et al.
Published: (2025)

More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding
by: Tang, Yuan, et al.
Published: (2024)

Less is More: Token-Efficient Video-QA via Adaptive Frame-Pruning and Semantic Graph Integration
by: Wang, Shaoguang, et al.
Published: (2025)

Benchmarking Badminton Action Recognition with a New Fine-Grained Dataset
by: Li, Qi, et al.
Published: (2024)

Synchronized and Fine-Grained Head for Skeleton-Based Ambiguous Action Recognition
by: Huang, Hao, et al.
Published: (2024)

GenQ: Quantization in Low Data Regimes with Generative Synthetic Data
by: Li, Yuhang, et al.
Published: (2023)

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA
by: Patricio, Alvaro, et al.
Published: (2025)

Less is More: Token Context-aware Learning for Object Tracking
by: Xu, Chenlong, et al.
Published: (2025)