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 3751–3775 of 10420 papers

TitleStatusHype
Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification—0
Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer—0
An Analysis of the Expressiveness of Deep Neural Network Architectures Based on Their Lipschitz Constants—0
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks—0
From pixels to planning: scale-free active inference—0
Detecting Overfitting via Adversarial Examples—0
Experimental Observations of the Topology of Convolutional Neural Network Activations—0
clustering an african hairstyle dataset using pca and k-means—0
An Analysis of Pre-Training on Object Detection—0
AdaScale SGD: A Scale-Invariant Algorithm for Distributed Training—0
Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs—0
Explainability-aided Domain Generalization for Image Classification—0
Explainability and Robustness of Deep Visual Classification Models—0
Adversarially Robust Generalization Requires More Data—0
Detecting Novelties with Empty Classes—0
EXPLAINABLE AI-BASED DYNAMIC FILTER PRUNING OF CONVOLUTIONAL NEURAL NETWORKS—0
Detecting Localized Adversarial Examples: A Generic Approach using Critical Region Analysis—0
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey—0
Explainable Analysis of Deep Learning Methods for SAR Image Classification—0
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models—0
Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation—0
AHA! an 'Artificial Hippocampal Algorithm' for Episodic Machine Learning—0
Explainable Disease Classification via weakly-supervised segmentation—0
CNN Based Analysis of the Luria’s Alternating Series Test for Parkinson’s Disease Diagnostics—0
Frost filtered scale-invariant feature extraction and multilayer perceptron for hyperspectral image classification—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