SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

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Showing 3701–3725 of 10420 papers

TitleStatusHype
Potential of Domain Adaptation in Machine Learning in Ecology and Hydrology to Improve Model Extrapolability—0
Multiple Teachers-Meticulous Student: A Domain Adaptive Meta-Knowledge Distillation Model for Medical Image ClassificationCode0
Fuzzy Rank-based Late Fusion Technique for Cytology image Segmentation—0
RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification—0
Understanding Robustness of Visual State Space Models for Image ClassificationCode0
Automatic location detection based on deep learningCode0
When Training-Free NAS Meets Vision Transformer: A Neural Tangent Kernel Perspective—0
Few-Shot Image Classification and Segmentation as Visual Question Answering Using Vision-Language Models—0
Learning on JPEG-LDPC Compressed Images: Classifying with Syndromes—0
PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time AdaptationCode0
Fast and reliable uncertainty quantification with neural network ensembles for industrial image classification—0
Frozen Feature Augmentation for Few-Shot Image Classification—0
Deep Learning for Multi-Level Detection and Localization of Myocardial Scars Based on Regional Strain Validated on Virtual Patients—0
CardioCaps: Attention-based Capsule Network for Class-Imbalanced Echocardiogram ClassificationCode0
Randomized Principal Component Analysis for Hyperspectral Image Classification—0
Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs in Resource-Constrained Edge Environment—0
A Hierarchical Fused Quantum Fuzzy Neural Network for Image Classification—0
XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization—0
ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain GeneralizationCode0
Reduced Jeffries-Matusita distance: A Novel Loss Function to Improve Generalization Performance of Deep Classification Models—0
Advancing Security in AI Systems: A Novel Approach to Detecting Backdoors in Deep Neural Networks—0
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification—0
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image ClassifiersCode0
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning—0
In-context learning enables multimodal large language models to classify cancer pathology images—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified