Classification Network

Classification networks are artificial neural networks designed to categorize input data, such as images or text, into predefined classes. Current research emphasizes improving accuracy, interpretability, and efficiency, exploring architectures like convolutional neural networks (CNNs), transformers, and hybrid models that combine both. These advancements are crucial for various applications, including medical image analysis, object recognition, and natural language processing, driving progress in fields ranging from healthcare to computer vision.

Papers

November 7, 2024

ICH-SCNet: Intracerebral Hemorrhage Segmentation and Prognosis Classification Network Using CLIP-guided SAM mechanism
Xinlei Yu, Ahmed Elazab, Ruiquan Ge, Hui Jin, Xinchen Jiang, Gangyong Jia, Qing Wu, Qinglei Shi, Changmiao Wang
Segmentation Task Prognosis Prediction Classification Network Intracerebral Hemorrhage Intracranial Hemorrhage Multi Task Network Intracranial Hemorrhage Segmentation Multi Task Loss

October 26, 2024

Enhancing CNN Classification with Lamarckian Memetic Algorithms and Local Search
Akhilbaran Ghosh, Rama Sai Adithya Kalidindi
Deep Neural Network Optimization Purpose Local Search Classification Network Memetic Algorithm CNN Classifier Weight Optimization

September 16, 2024

InfoDisent: Explainability of Image Classification Models by Information Disentanglement
Łukasz Struski, Jacek Tabor
Pre Trained Model Supervised ImageNet High Explainability Image Classification Model Model Parameter Classification Network Pre Trained Neural Network

August 15, 2024

HAIR: Hypernetworks-based All-in-One Image Restoration
Jin Cao, Yi Cao, Li Pang, Deyu Meng, Xiangyong Cao
Computer Vision Image Restoration Image Restoration Task Classification Network Image Restoration Network Region Identification

July 3, 2024

Model Guidance via Explanations Turns Image Classifiers into Segmentation Models
Xiaoyan Yu, Jannik Franzen, Wojciech Samek, Marina M. -C. Höhne, Dagmar Kainmueller
Line by Line Explanation Segmentation Model Image Classifier Semi Supervised Segmentation Segmentation Loss Classification Network Model Guidance

February 8, 2024

Trade-Offs of Diagonal Fisher Information Matrix Estimators
Alexander Soen, Ke Sun
Neural Network Linear Estimator Fisher Information Classification Network Empirical Fisher

December 1, 2023

Developmental Pretraining (DPT) for Image Classification Networks
Niranjan Rajesh, Debayan Gupta
Deep Neural Network Pre Training Object Recognition Classification Network

October 11, 2023

Multi-task Explainable Skin Lesion Classification
Mahapara Khurshid, Mayank Vatsa, Richa Singh
Multi Task Segmentation Network Skin Cancer Automatic Classification Classification Network Dermatological Disease Datasets

September 30, 2023

On the Role of Neural Collapse in Meta Learning Models for Few-shot Learning
Saaketh Medepalli, Naren Doraiswamy
Shot Learning Integral Role Black Box Model Neural Collapse Classification Network

August 14, 2023

CBA: Improving Online Continual Learning via Continual Bias Adaptor
Quanziang Wang, Renzhen Wang, Yichen Wu, Xixi Jia, Deyu Meng
Online Continual Learning Continual Learning Benchmark Unbiased Learning Classification Network Dynamic Training

July 20, 2023

Syntactic vs Semantic Linear Abstraction and Refinement of Neural Networks
Calvin Chau, Jan Křetínský, Stefanie Mohr
Neural Network High Similarity Cognitive Abstraction Metric Aware Abstraction Classification Network Semantic Abstraction

June 25, 2023

SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image
Luyuan Xie, Cong Li, Zirui Wang, Xin Zhang, Boyan Chen, Qingni Shen, Zhonghai Wu
Super Resolution High Resolution Multi Scale Feature ATAC Net Classification Network Breast Cancer Histopathology Image

June 7, 2023

T-ADAF: Adaptive Data Augmentation Framework for Image Classification Network based on Tensor T-product Operator
Feiyang Han, Yun Miao, Zhaoyi Sun, Yimin Wei
Data Augmentation Image Classification Image Data Tensor Product Classification Network

June 2, 2023

DWT-CompCNN: Deep Image Classification Network for High Throughput JPEG 2000 Compressed Documents
Tejasvee Bisen, Mohammed Javed, Shashank Kirtania, P. Nagabhushan
Data Compression Joint Photographic Expert Group Classification Network Compressed Domain Novel Deep Learning Model

May 17, 2023

Deep Learning Applications Based on WISE Infrared Data: Classification of Stars, Galaxies and Quasars
Guiyu Zhao, Bo Qiu, A-Li Luo, Xiaoyu Guo, Lin Yao, Kun Wang, Yuanbo Liu
Classification Code Deep Learning Application Distant GALAXY Classification Network Quasar Host Galaxy

February 5, 2023

CECT: Controllable Ensemble CNN and Transformer for COVID-19 Image Classification
Zhaoshan Liu, Lei Shen
Transformer Based Covid 19 Classification Network Ensemble CNN

December 15, 2022

November 28, 2022

Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data
Andrei Margeloiu, Nikola Simidjievski, Pietro Lio, Mateja Jamnik
Feature Selection Tabular Data Biomedical Datasets Classification Network Simple Neural Network Weight Estimation

August 14, 2022

The SVD of Convolutional Weights: A CNN Interpretability Framework
Brenda Praggastis, Davis Brown, Carlos Ortiz Marrero, Emilie Purvine, Madelyn Shapiro, Bei Wang
End to End Image Classification Convolution Layer Singular Value Decomposition Convolutional Filter Classification Network

Classification Network

Papers

ICH-SCNet: Intracerebral Hemorrhage Segmentation and Prognosis Classification Network Using CLIP-guided SAM mechanism

Enhancing CNN Classification with Lamarckian Memetic Algorithms and Local Search

InfoDisent: Explainability of Image Classification Models by Information Disentanglement

HAIR: Hypernetworks-based All-in-One Image Restoration

Model Guidance via Explanations Turns Image Classifiers into Segmentation Models

Trade-Offs of Diagonal Fisher Information Matrix Estimators

Developmental Pretraining (DPT) for Image Classification Networks

Multi-task Explainable Skin Lesion Classification

On the Role of Neural Collapse in Meta Learning Models for Few-shot Learning

CBA: Improving Online Continual Learning via Continual Bias Adaptor

Syntactic vs Semantic Linear Abstraction and Refinement of Neural Networks

SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image

T-ADAF: Adaptive Data Augmentation Framework for Image Classification Network based on Tensor T-product Operator

DWT-CompCNN: Deep Image Classification Network for High Throughput JPEG 2000 Compressed Documents

Deep Learning Applications Based on WISE Infrared Data: Classification of Stars, Galaxies and Quasars

CECT: Controllable Ensemble CNN and Transformer for COVID-19 Image Classification

Runtime Monitoring for Out-of-Distribution Detection in Object Detection Neural Networks

Learning to Detect Semantic Boundaries with Image-level Class Labels

Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data

The SVD of Convolutional Weights: A CNN Interpretability Framework