Imagen de Portada

SaSi: A Self-augmented and Self-interpreted Deep Learning Approach for Few-shot Cryo-ET Particle Detection

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Adethya, Gokul, Mantha, Bhanu Pratyush, Wang, Tianyang, Li, Xingjian, Xu, Min
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

SAM-PM: Enhancing Video Camouflaged Object Detection using Spatio-Temporal Attention
por: Meeran, Muhammad Nawfal, et al.
Publicado: (2024)

CryoMAE: Few-Shot Cryo-EM Particle Picking with Masked Autoencoders
por: Xu, Chentianye, et al.
Publicado: (2024)

Towards Foundation Models for Cryo-ET Subtomogram Analysis
por: Jiang, Runmin, et al.
Publicado: (2025)

A Study on Regularization-Based Continual Learning Methods for Indic ASR
por: T, Gokul Adethya, et al.
Publicado: (2025)

Training-free CryoET Tomogram Segmentation
por: Zhao, Yizhou, et al.
Publicado: (2024)

CONSULT: Contrastive Self-Supervised Learning for Few-shot Tumor Detection
por: Chin, Sin Chee, et al.
Publicado: (2024)

Symmetrical Joint Learning Support-query Prototypes for Few-shot Segmentation
por: Li, Qun, et al.
Publicado: (2024)

CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis
por: Jiang, Runmin, et al.
Publicado: (2025)

SemiETPicker: Fast and Label-Efficient Particle Picking for CryoET Tomography Using Semi-Supervised Learning
por: Wang, Linhan, et al.
Publicado: (2025)

Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models
por: Zhao, Lin, et al.
Publicado: (2024)

SPENet: Self-guided Prototype Enhancement Network for Few-shot Medical Image Segmentation
por: Fan, Chao, et al.
Publicado: (2025)

MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection
por: Zhang, Ximiao, et al.
Publicado: (2024)

Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning
por: Belagali, Varun, et al.
Publicado: (2024)

VQA Training Sets are Self-play Environments for Generating Few-shot Pools
por: Misiunas, Tautvydas, et al.
Publicado: (2024)

J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume
por: Liu, Xiwei, et al.
Publicado: (2024)

Few-shot Online Anomaly Detection and Segmentation
por: Wei, Shenxing, et al.
Publicado: (2024)

Towards Few-shot Out-of-Distribution Detection
por: Dong, Jiuqing, et al.
Publicado: (2023)

Semantic Enhanced Few-shot Object Detection
por: Wang, Zheng, et al.
Publicado: (2024)

Few-shot Calligraphy Style Learning
por: Chen, Fangda, et al.
Publicado: (2024)

Learning Spatial Similarity Distribution for Few-shot Object Counting
por: Xu, Yuanwu, et al.
Publicado: (2024)

CF-Font: Content Fusion for Few-shot Font Generation
por: Wang, Chi, et al.
Publicado: (2023)

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images
por: Brokman, Jonathan, et al.
Publicado: (2025)

SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning
por: Zhang, Tao, et al.
Publicado: (2023)

Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification
por: Xiao, Yuyang
Publicado: (2024)

Learning Topology-Driven Multi-Subspace Fusion for Grassmannian Deep Network
por: Yu, Xuan, et al.
Publicado: (2025)

GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection
por: Mei, Hefei, et al.
Publicado: (2023)

Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling
por: Li, Haoran, et al.
Publicado: (2024)

Few-shot Personalized Scanpath Prediction
por: Xue, Ruoyu, et al.
Publicado: (2025)

Few-shot Oriented Object Detection with Memorable Contrastive Learning in Remote Sensing Images
por: Zhou, Jiawei, et al.
Publicado: (2024)

Continual Few-shot Adaptation for Synthetic Fingerprint Detection
por: Benjamin, Joseph Geo, et al.
Publicado: (2026)

Modularized Networks for Few-shot Hateful Meme Detection
por: Cao, Rui, et al.
Publicado: (2024)

Search is All You Need for Few-shot Anomaly Detection
por: Wang, Qishan, et al.
Publicado: (2025)

Multi-Perspective Data Augmentation for Few-shot Object Detection
por: Vu, Anh-Khoa Nguyen, et al.
Publicado: (2025)

MadCLIP: Few-shot Medical Anomaly Detection with CLIP
por: Shiri, Mahshid, et al.
Publicado: (2025)

Dual-path Frequency Discriminators for Few-shot Anomaly Detection
por: Bai, Yuhu, et al.
Publicado: (2024)

The Devil is in the Few Shots: Iterative Visual Knowledge Completion for Few-shot Learning
por: Li, Yaohui, et al.
Publicado: (2024)

RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning
por: Lyu, Yuanhuiyi, et al.
Publicado: (2025)

Clustered-patch Element Connection for Few-shot Learning
por: Lai, Jinxiang, et al.
Publicado: (2023)

Few-shot Object Localization
por: Ren, Yunhan, et al.
Publicado: (2024)

Few-shot Algorithm Assurance
por: Nguyen, Dang, et al.
Publicado: (2024)