Papers with Code 아카이브
Morphology classification
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Are vision language models robust to uncertain inputs?
Oncolytic mechanisms and immunotherapeutic potential of Newcastle disease virus in cancer therapy
Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding
From Galaxy Zoo DECaLS to BASS/MzLS: detailed galaxy morphology classification with unsupervised domain adaption
A Versatile Framework for Analyzing Galaxy Image Data by Implanting Human-in-the-loop on a Large Vision Model
SHMC-Net: A Mask-guided Feature Fusion Network for Sperm Head Morphology Classification
E(2) Equivariant Neural Networks for Robust Galaxy Morphology Classification
Spiral-Elliptical automated galaxy morphology classification from telescope images
AstroCLIP: A Cross-Modal Foundation Model for Galaxies
From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain Adaptation
DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection
Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection
The Classification of Optical Galaxy Morphology Using Unsupervised Learning Techniques
Semi-supervised machine learning model for analysis of nanowire morphologies from transmission electron microscopy images
Improving Human Sperm Head Morphology Classification with Unsupervised Anatomical Feature Distillation
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification
A Comparison of Deep Learning Architectures for Optical Galaxy Morphology Classification
Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification?
Morphological classification of astronomical images with limited labelling
Self-Supervised Representation Learning for Astronomical Images
Semi-supervised Learning of Galaxy Morphology using Equivariant Transformer Variational Autoencoders
TSV Extrusion Morphology Classification Using Deep Convolutional Neural Networks
Galaxy Morphology Classification using EfficientNet Architectures
Hierarchical Deep Learning Classification of Unstructured Pathology Reports to Automate ICD-O Morphology Grading
Numerical simulation, clustering and prediction of multi-component polymer precipitation
Convolutional Neural Networks based Focal Loss for Class Imbalance Problem: A Case Study of Canine Red Blood Cells Morphology Classification
Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer
Galaxy morphology prediction using capsule networks
Rotation-invariant convolutional neural networks for galaxy morphology prediction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.