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 3251–3300 of 10419 papers

TitleStatusHype
Topology Optimization of Random Memristors for Input-Aware Dynamic SNNCode0
Local Binary Pattern(LBP) Optimization for Feature Extraction—0
Unifying Visual and Semantic Feature Spaces with Diffusion Models for Enhanced Cross-Modal Alignment—0
Content-driven Magnitude-Derivative Spectrum Complementary Learning for Hyperspectral Image Classification—0
Self-supervised pre-training with diffusion model for few-shot landmark detection in x-ray images—0
Graph Neural Networks: A suitable Alternative to MLPs in Latent 3D Medical Image Classification?Code0
Unsqueeze [CLS] Bottleneck to Learn Rich RepresentationsCode0
Quanv4EO: Empowering Earth Observation by means of Quanvolutional Neural Networks—0
Adaptive Gradient Regularization: A Faster and Generalizable Optimization Technique for Deep Neural Networks—0
HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification—0
S-E Pipeline: A Vision Transformer (ViT) based Resilient Classification Pipeline for Medical Imaging Against Adversarial Attacks—0
Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imagingCode0
Image Classification using Fuzzy Pooling in Convolutional Kolmogorov-Arnold Networks—0
Improved Few-Shot Image Classification Through Multiple-Choice Questions—0
Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Traditional Deep Learning and Large Language Models—0
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source DataCode0
Pavement Fatigue Crack Detection and Severity Classification Based on Convolutional Neural Network—0
Learning deep illumination-robust features from multispectral filter array imagesCode0
Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning—0
FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image ClassificationCode0
HyperbolicLR: Epoch insensitive learning rate schedulerCode0
Assessing Sample Quality via the Latent Space of Generative ModelsCode0
Toward Efficient Convolutional Neural Networks With Structured Ternary PatternsCode0
Subgraph Clustering and Atom Learning for Improved Image Classification—0
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks—0
EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition—0
CoAPT: Context Attribute words for Prompt Tuning—0
Nutrispace: A novel color space to enhance deep learning based early detection of cucurbits nutritional deficiency—0
Addressing Imbalance for Class Incremental Learning in Medical Image Classification—0
Differential Privacy Mechanisms in Neural Tangent Kernel Regression—0
CycleMix: Mixing Source Domains for Domain Generalization in Style-Dependent DataCode0
Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients—0
ColorMAE: Exploring data-independent masking strategies in Masked AutoEncodersCode0
LookupViT: Compressing visual information to a limited number of tokens—0
Benchmarking Robust Self-Supervised Learning Across Diverse Downstream TasksCode0
Adaptive Cascading Network for Continual Test-Time AdaptationCode0
Non-parametric regularization for class imbalance federated medical image classificationCode0
FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification—0
Probing the Efficacy of Federated Parameter-Efficient Fine-Tuning of Vision Transformers for Medical Image Classification—0
A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification—0
Siamese Transformer Networks for Few-shot Image Classification—0
Generalized Coverage for More Robust Low-Budget Active Learning—0
PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer—0
Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP InversionCode0
Anticipating Future Object Compositions without Forgetting—0
Improving Hyperbolic Representations via Gromov-Wasserstein Regularization—0
Employing Sentence Space Embedding for Classification of Data Stream from Fake News DomainCode0
Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification—0
Backdoor Attacks against Image-to-Image Networks—0
GeoMix: Towards Geometry-Aware Data AugmentationCode0
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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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified