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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3701–3750 of 10419 papers

TitleStatusHype
Potential of Domain Adaptation in Machine Learning in Ecology and Hydrology to Improve Model Extrapolability—0
RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification—0
Fuzzy Rank-based Late Fusion Technique for Cytology image Segmentation—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
Frozen Feature Augmentation for Few-Shot Image Classification—0
PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time AdaptationCode0
Deep Learning for Multi-Level Detection and Localization of Myocardial Scars Based on Regional Strain Validated on Virtual Patients—0
Fast and reliable uncertainty quantification with neural network ensembles for industrial image classification—0
Learning on JPEG-LDPC Compressed Images: Classifying with Syndromes—0
Randomized Principal Component Analysis for Hyperspectral Image Classification—0
CardioCaps: Attention-based Capsule Network for Class-Imbalanced Echocardiogram ClassificationCode0
Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs in Resource-Constrained Edge Environment—0
XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization—0
A Hierarchical Fused Quantum Fuzzy Neural Network for Image Classification—0
ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain GeneralizationCode0
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image ClassifiersCode0
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
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning—0
Reduced Jeffries-Matusita distance: A Novel Loss Function to Improve Generalization Performance of Deep Classification Models—0
Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments—0
Temporal Decisions: Leveraging Temporal Correlation for Efficient Decisions in Early Exit Neural Networks—0
12 mJ per Class On-Device Online Few-Shot Class-Incremental LearningCode0
Premonition: Using Generative Models to Preempt Future Data Changes in Continual LearningCode0
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance—0
Backdoor Attack with Mode Mixture Latent Modification—0
In-context learning enables multimodal large language models to classify cancer pathology images—0
A Bayesian Approach to OOD Robustness in Image ClassificationCode0
Shortcut Learning in Medical Image SegmentationCode0
A Converting Autoencoder Toward Low-latency and Energy-efficient DNN Inference at the Edge—0
Dynamic Perturbation-Adaptive Adversarial Training on Medical Image Classification—0
Leveraging Internal Representations of Model for Magnetic Image Classification—0
Deep Learning Recognition for Arabic Alphabet Sign Language RGB Dataset—0
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations—0
Active Generation for Image ClassificationCode0
BSDA: Bayesian Random Semantic Data Augmentation for Medical Image ClassificationCode0
Debiased Noise Editing on Foundation Models for Fair Medical Image ClassificationCode0
Probing Image Compression For Class-Incremental Learning—0
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape—0
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification—0
Multiple Instance Learning with random sampling for Whole Slide Image Classification—0
Generalized Correspondence Matching via Flexible Hierarchical Refinement and Patch Descriptor Distillation—0
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets—0
Feature CAM: Interpretable AI in Image Classification—0
ComFe: Interpretable Image Classifiers With Foundation Models, Transformers and Component FeaturesCode0
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks—0
Inverse-Free Fast Natural Gradient Descent Method for Deep Learning—0
Show:102550
← PrevPage 75 of 209Next →
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