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 2401–2425 of 10420 papers

TitleStatusHype
Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models—0
Synthetic Similarity Search in Automotive Production—0
NeuRN: Neuro-inspired Domain Generalization for Image Classification—0
A Vision-Language Foundation Model for Leaf Disease IdentificationCode0
Image Classification Using a Diffusion Model as a Pre-Training Model—0
Matrix Is All You Need—0
Active Learning for Multi-class Image Classification—0
Achieving 3D Attention via Triplet Squeeze and Excitation Block—0
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints—0
Adapting a Segmentation Foundation Model for Medical Image Classification—0
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output CodesCode0
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural NetworksCode0
In-Context Learning for Label-Efficient Cancer Image Classification in Oncology—0
Biomed-DPT: Dual Modality Prompt Tuning for Biomedical Vision-Language ModelsCode0
Direct Image Classification from Fourier Ptychographic Microscopy Measurements without Reconstruction—0
Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It—0
V-EfficientNets: Vector-Valued Efficiently Scaled Convolutional Neural Network ModelsCode0
FRAIN to Train: A Fast-and-Reliable Solution for Decentralized Federated LearningCode0
Label-efficient Single Photon Images Classification via Active Learning—0
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency—0
Enhancing Glass Defect Detection with Diffusion Models: Addressing Imbalanced Datasets in Manufacturing Quality Control—0
Comparative Analysis of Lightweight Deep Learning Models for Memory-Constrained Devices—0
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models—0
Bayesian Robust Aggregation for Federated LearningCode0
CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classification—0
Show:102550
← PrevPage 97 of 417Next →
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