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 3251–3275 of 10420 papers

TitleStatusHype
A Scalable Quantum Non-local Neural Network for Image ClassificationCode0
Local Binary Pattern(LBP) Optimization for Feature Extraction—0
Unifying Visual and Semantic Feature Spaces with Diffusion Models for Enhanced Cross-Modal Alignment—0
Topology Optimization of Random Memristors for Input-Aware Dynamic SNNCode0
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
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
Unsqueeze [CLS] Bottleneck to Learn Rich RepresentationsCode0
HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification—0
Improved Few-Shot Image Classification Through Multiple-Choice Questions—0
Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imagingCode0
Image Classification using Fuzzy Pooling in Convolutional Kolmogorov-Arnold Networks—0
S-E Pipeline: A Vision Transformer (ViT) based Resilient Classification Pipeline for Medical Imaging Against Adversarial Attacks—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
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
Pavement Fatigue Crack Detection and Severity Classification Based on Convolutional Neural Network—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
Subgraph Clustering and Atom Learning for Improved Image Classification—0
Toward Efficient Convolutional Neural Networks With Structured Ternary PatternsCode0
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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