Cover Image

FSP-DETR: Few-Shot Prototypical Parasitic Ova Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Trehan, Shubham, Ramachandran, Udhav, Rao, Akash, Scimeca, Ruth, Aakur, Sathyanarayanan N.
Format:	Preprint
Published:	2025
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

Self-supervised Multi-actor Social Activity Understanding in Streaming Videos
by: Trehan, Shubham, et al.
Published: (2024)

Discovering Novel Actions from Open World Egocentric Videos with Object-Grounded Visual Commonsense Reasoning
by: Kundu, Sanjoy, et al.
Published: (2023)

ALGO: Object-Grounded Visual Commonsense Reasoning for Open-World Egocentric Action Recognition
by: Kundu, Sanjoy, et al.
Published: (2024)

Hallucinate, Ground, Repeat: A Framework for Generalized Visual Relationship Detection
by: Vellamcheti, Shanmukha, et al.
Published: (2025)

CRAFT: A Neuro-Symbolic Framework for Visual Functional Affordance Grounding
by: Chen, Zhou, et al.
Published: (2025)

A Probabilistic Jump-Diffusion Framework for Open-World Egocentric Activity Recognition
by: Kundu, Sanjoy, et al.
Published: (2025)

ProbRes: Probabilistic Jump Diffusion for Open-World Egocentric Activity Recognition
by: Kundu, Sanjoy, et al.
Published: (2025)

Generalized Event Partonomy Inference with Structured Hierarchical Predictive Learning
by: Chen, Zhou, et al.
Published: (2025)

STaTS: Structure-Aware Temporal Sequence Summarization via Statistical Window Merging
by: Bhowmick, Disharee, et al.
Published: (2025)

Capturing Temporal Components for Time Series Classification
by: Vavilthota, Venkata Ragavendra, et al.
Published: (2024)

EASE: Embodied Active Event Perception via Self-Supervised Energy Minimization
by: Chen, Zhou, et al.
Published: (2025)

CVT-Bench: Counterfactual Viewpoint Transformations Reveal Unstable Spatial Representations in Multimodal LLMs
by: Vellamcheti, Shanmukha, et al.
Published: (2026)

Prototype-Driven Adaptation for Few-Shot Object Detection
by: Huang, Yushen, et al.
Published: (2025)

Fine-Grained Prototypes Distillation for Few-Shot Object Detection
by: Wang, Zichen, et al.
Published: (2024)

FastRef:Fast Prototype Refinement for Few-Shot Industrial Anomaly Detection
by: Tian, Long, et al.
Published: (2025)

Learning Multi-Modal Prototypes for Cross-Domain Few-Shot Object Detection
by: Wang, Wanqi, et al.
Published: (2026)

Improving Fungi Prototype Representations for Few-Shot Classification
by: Traore, Abdarahmane, et al.
Published: (2025)

Prototype Optimization with Neural ODE for Few-Shot Learning
by: Zhang, Baoquan, et al.
Published: (2024)

MPA: Multimodal Prototype Augmentation for Few-Shot Learning
by: Wu, Liwen, et al.
Published: (2026)

IPNET:Influential Prototypical Networks for Few Shot Learning
by: Chowdhury, Ranjana Roy, et al.
Published: (2022)

Attention-Enhanced Prototypical Learning for Few-Shot Infrastructure Defect Segmentation
by: Thrainer, Christina, et al.
Published: (2025)

Prototypical Learning Guided Context-Aware Segmentation Network for Few-Shot Anomaly Detection
by: Jiang, Yuxin, et al.
Published: (2025)

Decoupled Prototype Matching with Vision Foundation Models for Few-Shot Industrial Object Detection
by: M., Hari Prasanth S., et al.
Published: (2026)

Is Foreground Prototype Sufficient? Few-Shot Medical Image Segmentation with Background-Fused Prototype
by: Tang, Song, et al.
Published: (2024)

Query-guided Prototype Evolution Network for Few-Shot Segmentation
by: Cong, Runmin, et al.
Published: (2024)

Decomposed Prototype Learning for Few-Shot Scene Graph Generation
by: Li, Xingchen, et al.
Published: (2023)

Unify the Views: View-Consistent Prototype Learning for Few-Shot Segmentation
by: Liu, Hongli, et al.
Published: (2026)

CP-VoteNet: Contrastive Prototypical VoteNet for Few-Shot Point Cloud Object Detection
by: Li, Xuejing, et al.
Published: (2024)

DQ-DETR: DETR with Dynamic Query for Tiny Object Detection
by: Huang, Yi-Xin, et al.
Published: (2024)

RiO-DETR: DETR for Real-time Oriented Object Detection
by: Hu, Zhangchi, et al.
Published: (2026)

Balancing Conservatism and Aggressiveness: Prototype-Affinity Hybrid Network for Few-Shot Segmentation
by: Zou, Tianyu, et al.
Published: (2025)

Concentrate on Weakness: Mining Hard Prototypes for Few-Shot Medical Image Segmentation
by: Jiang, Jianchao, et al.
Published: (2025)

Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation
by: Park, Suho, et al.
Published: (2025)

Cross-Modal Prototype Alignment and Mixing for Training-Free Few-Shot Classification
by: Goswami, Dipam, et al.
Published: (2026)

Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
by: P, Jishnu Jaykumar, et al.
Published: (2023)

Data-Efficient American Sign Language Recognition via Few-Shot Prototypical Networks
by: Saad, Meher Md
Published: (2025)

Unlocking Prototype Potential: An Efficient Tuning Framework for Few-Shot Class-Incremental Learning
by: Jiang, Shengqin, et al.
Published: (2026)

Prototype Learning-Based Few-Shot Segmentation for Low-Light Crack on Concrete Structures
by: Guo, Yulun
Published: (2026)

Prototype Correlation Matching and Class-Relation Reasoning for Few-Shot Medical Image Segmentation
by: Zhang, Yumin, et al.
Published: (2024)

Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement
by: Wang, Jing, et al.
Published: (2023)