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 4401–4425 of 10420 papers

TitleStatusHype
Deep Learning Generalization, Extrapolation, and Over-parameterization—0
Deep Learning Generalization and the Convex Hull of Training Sets—0
A Modified Perturbed Sampling Method for Local Interpretable Model-agnostic Explanation—0
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization—0
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification—0
Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification—0
Deep Learning for Multi-Level Detection and Localization of Myocardial Scars Based on Regional Strain Validated on Virtual Patients—0
Deep Learning for Logo Recognition—0
Deep learning for lithological classification of carbonate rock micro-CT images—0
BaFTA: Backprop-Free Test-Time Adaptation For Zero-Shot Vision-Language Models—0
Explanation and Use of Uncertainty Quantified by Bayesian Neural Network Classifiers for Breast Histopathology Images—0
A Model-Agnostic SAT-based Approach for Symbolic Explanation Enumeration—0
BAFFLE: TOWARDS RESOLVING FEDERATED LEARNING’S DILEMMA - THWARTING BACKDOOR AND INFERENCE ATTACKS—0
DomainSiam: Domain-Aware Siamese Network for Visual Object Tracking—0
Deep Learning for Hyperspectral Image Classification: An Overview—0
Deep Learning For Computer Vision Tasks: A review—0
BadScan: An Architectural Backdoor Attack on Visual State Space Models—0
Hyperspherical Loss-Aware Ternary Quantization—0
HyperSTAR: Task-Aware Hyperparameters for Deep Networks—0
Deep Learning for Climate Action: Computer Vision Analysis of Visual Narratives on X—0
Deep learning for classification of noisy QR codes—0
BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements—0
Deep Learning for Apple Diseases: Classification and Identification—0
Hyperspectral Image Spectral-Spatial Feature Extraction via Tensor Principal Component Analysis—0
Hyperspectral Remote Sensing Image Classification Based on Multi-scale Cross Graphic Convolution—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