DMDSC: A Dynamic-Margin Deep Simplex Classifier for Open-Set Recognition on Medical Image Datasets
Fuente:
arXiv
Guardado en:
| Autores principales: | Vishal, Aditya, Arnav, Kumar, Nitin, Shigwan, Saurabh J. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
UCDSC: Open Set UnCertainty aware Deep Simplex Classifier for Medical Image Datasets
por: Aditya, Arnav, et al.
Publicado: (2025)
por: Aditya, Arnav, et al.
Publicado: (2025)
UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks Clustering
por: Adityaja, A. Mudit, et al.
Publicado: (2024)
por: Adityaja, A. Mudit, et al.
Publicado: (2024)
ARMA-C3: A Contrastive ARMA Convolutional Framework for Unsupervised and Semi-supervised Classification
por: Abburi, VSS Tejaswi, et al.
Publicado: (2026)
por: Abburi, VSS Tejaswi, et al.
Publicado: (2026)
ARMARecon: An ARMA Convolutional Filter based Graph Neural Network for Neurodegenerative Dementias Classification
por: Abburi, VSS Tejaswi, et al.
Publicado: (2026)
por: Abburi, VSS Tejaswi, et al.
Publicado: (2026)
SpineContextResUNet: A Computationally Efficient Residual UNet for Spine CT Segmentation
por: Nithurshen, K S, et al.
Publicado: (2026)
por: Nithurshen, K S, et al.
Publicado: (2026)
UnSegGNet: Unsupervised Image Segmentation using Graph Neural Networks
por: Reddy, Kovvuri Sai Gopal, et al.
Publicado: (2024)
por: Reddy, Kovvuri Sai Gopal, et al.
Publicado: (2024)
UnSeGArmaNet: Unsupervised Image Segmentation using Graph Neural Networks with Convolutional ARMA Filters
por: Reddy, Kovvuri Sai Gopal, et al.
Publicado: (2024)
por: Reddy, Kovvuri Sai Gopal, et al.
Publicado: (2024)
Open-Set Semi-Supervised Learning for Long-Tailed Medical Datasets
por: Kareem, Daniya Najiha A., et al.
Publicado: (2025)
por: Kareem, Daniya Najiha A., et al.
Publicado: (2025)
Open Set Recognition for Endoscopic Image Classification: A Deep Learning Approach on the Kvasir Dataset
por: Moazzami, Kasra, et al.
Publicado: (2025)
por: Moazzami, Kasra, et al.
Publicado: (2025)
HOpenCls: Training Hyperspectral Image Open-Set Classifiers in Their Living Environments
por: Zhao, Hengwei, et al.
Publicado: (2025)
por: Zhao, Hengwei, et al.
Publicado: (2025)
Open-Set Vein Biometric Recognition with Deep Metric Learning
por: Pilarek, Paweł, et al.
Publicado: (2026)
por: Pilarek, Paweł, et al.
Publicado: (2026)
Emotion Diffusion Classifier with Adaptive Margin Discrepancy Training for Facial Expression Recognition
por: Dong, Rongkang, et al.
Publicado: (2026)
por: Dong, Rongkang, et al.
Publicado: (2026)
Open-Vocabulary Scene Text Recognition via Pseudo-Image Labeling and Margin Loss
por: Ren, Xuhua, et al.
Publicado: (2024)
por: Ren, Xuhua, et al.
Publicado: (2024)
Open-Set Plankton Recognition
por: Kareinen, Joona, et al.
Publicado: (2025)
por: Kareinen, Joona, et al.
Publicado: (2025)
Open-Set Facial Expression Recognition
por: Zhang, Yuhang, et al.
Publicado: (2024)
por: Zhang, Yuhang, et al.
Publicado: (2024)
Open-Insect: Benchmarking Open-Set Recognition of Novel Species in Biodiversity Monitoring
por: Chen, Yuyan, et al.
Publicado: (2025)
por: Chen, Yuyan, et al.
Publicado: (2025)
Classifying the Unknown: In-Context Learning for Open-Vocabulary Text and Symbol Recognition
por: Simon, Tom, et al.
Publicado: (2025)
por: Simon, Tom, et al.
Publicado: (2025)
Exploring Diverse Representations for Open Set Recognition
por: Wang, Yu, et al.
Publicado: (2024)
por: Wang, Yu, et al.
Publicado: (2024)
All Beings Are Equal in Open Set Recognition
por: Li, Chaohua, et al.
Publicado: (2024)
por: Li, Chaohua, et al.
Publicado: (2024)
Complementary Frequency-Varying Awareness Network for Open-Set Fine-Grained Image Recognition
por: Dong, Qiulei, et al.
Publicado: (2023)
por: Dong, Qiulei, et al.
Publicado: (2023)
Open-Set Object Detection By Aligning Known Class Representations
por: Sarkar, Hiran, et al.
Publicado: (2024)
por: Sarkar, Hiran, et al.
Publicado: (2024)
OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning
por: Yin, Xu, et al.
Publicado: (2024)
por: Yin, Xu, et al.
Publicado: (2024)
On Large Multimodal Models as Open-World Image Classifiers
por: Conti, Alessandro, et al.
Publicado: (2025)
por: Conti, Alessandro, et al.
Publicado: (2025)
Open-Set Recognition in the Age of Vision-Language Models
por: Miller, Dimity, et al.
Publicado: (2024)
por: Miller, Dimity, et al.
Publicado: (2024)
MedCL: Learning Consistent Anatomy Distribution for Scribble-supervised Medical Image Segmentation
por: Zhang, Ke, et al.
Publicado: (2025)
por: Zhang, Ke, et al.
Publicado: (2025)
Blackbox Adaptation for Medical Image Segmentation
por: Paranjape, Jay N., et al.
Publicado: (2024)
por: Paranjape, Jay N., et al.
Publicado: (2024)
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
por: Zhang, Qin, et al.
Publicado: (2023)
por: Zhang, Qin, et al.
Publicado: (2023)
Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration
por: Ni, Jiani, et al.
Publicado: (2025)
por: Ni, Jiani, et al.
Publicado: (2025)
Boosting Open Set Recognition Performance through Modulated Representation Learning
por: Kundu, Amit Kumar, et al.
Publicado: (2025)
por: Kundu, Amit Kumar, et al.
Publicado: (2025)
COSTARR: Consolidated Open Set Technique with Attenuation for Robust Recognition
por: Rabinowitz, Ryan, et al.
Publicado: (2025)
por: Rabinowitz, Ryan, et al.
Publicado: (2025)
Open Turbulent Image Set (OTIS)
por: Ferrante, Nicholas B., et al.
Publicado: (2024)
por: Ferrante, Nicholas B., et al.
Publicado: (2024)
Explainable Image Recognition via Enhanced Slot-attention Based Classifier
por: Wang, Bowen, et al.
Publicado: (2024)
por: Wang, Bowen, et al.
Publicado: (2024)
Understanding Open-Set Recognition by Jacobian Norm and Inter-Class Separation
por: Park, Jaewoo, et al.
Publicado: (2022)
por: Park, Jaewoo, et al.
Publicado: (2022)
Nearest-Class Mean and Logits Agreement for Wildlife Open-Set Recognition
por: Huo, Jiahao, et al.
Publicado: (2025)
por: Huo, Jiahao, et al.
Publicado: (2025)
OpenAnimalTracks: A Dataset for Animal Track Recognition
por: Shinoda, Risa, et al.
Publicado: (2024)
por: Shinoda, Risa, et al.
Publicado: (2024)
Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning
por: Yao, Zhongren, et al.
Publicado: (2024)
por: Yao, Zhongren, et al.
Publicado: (2024)
CBRW: A Novel Approach for Cancelable Biometric Template Generation based on
por: Kumar, Nitin, et al.
Publicado: (2024)
por: Kumar, Nitin, et al.
Publicado: (2024)
A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation
por: Chen, Xiaoyang, et al.
Publicado: (2024)
por: Chen, Xiaoyang, et al.
Publicado: (2024)
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
por: Xu, Huali, et al.
Publicado: (2023)
por: Xu, Huali, et al.
Publicado: (2023)
Sumotosima: A Framework and Dataset for Classifying and Summarizing Otoscopic Images
por: Khan, Eram Anwarul, et al.
Publicado: (2024)
por: Khan, Eram Anwarul, et al.
Publicado: (2024)
Ejemplares similares
-
UCDSC: Open Set UnCertainty aware Deep Simplex Classifier for Medical Image Datasets
por: Aditya, Arnav, et al.
Publicado: (2025) -
UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks Clustering
por: Adityaja, A. Mudit, et al.
Publicado: (2024) -
ARMA-C3: A Contrastive ARMA Convolutional Framework for Unsupervised and Semi-supervised Classification
por: Abburi, VSS Tejaswi, et al.
Publicado: (2026) -
ARMARecon: An ARMA Convolutional Filter based Graph Neural Network for Neurodegenerative Dementias Classification
por: Abburi, VSS Tejaswi, et al.
Publicado: (2026) -
SpineContextResUNet: A Computationally Efficient Residual UNet for Spine CT Segmentation
por: Nithurshen, K S, et al.
Publicado: (2026)