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 5001–5025 of 10420 papers

TitleStatusHype
EXPLAINABLE AI-BASED DYNAMIC FILTER PRUNING OF CONVOLUTIONAL NEURAL NETWORKS—0
Explainable 3D Convolutional Neural Networks by Learning Temporal Transformations—0
Explainability and Robustness of Deep Visual Classification Models—0
Explainability-aided Domain Generalization for Image Classification—0
Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs—0
ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning—0
Expert-Like Reparameterization of Heterogeneous Pyramid Receptive Fields in Efficient CNNs for Fair Medical Image Classification—0
Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images—0
Adversarially Robust Generalization Requires More Data—0
A Computational Account Of Self-Supervised Visual Learning From Egocentric Object Play—0
Experimental Observations of the Topology of Convolutional Neural Network Activations—0
clustering an african hairstyle dataset using pca and k-means—0
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification—0
Approximate Log-Hilbert-Schmidt Distances Between Covariance Operators for Image Classification—0
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks—0
Expanding Training Data for Endoscopic Phenotyping of Eosinophilic Esophagitis—0
ExMobileViT: Lightweight Classifier Extension for Mobile Vision Transformer—0
Adversarial Learning of Label Dependency: A Novel Framework for Multi-class Classification—0
Exemplar SVMs as Visual Feature Encoders—0
Exemplar-free Online Continual Learning—0
Exemplar Based Deep Discriminative and Shareable Feature Learning for Scene Image Classification—0
Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in Image Classification—0
Approximated Prompt Tuning for Vision-Language Pre-trained Models—0
Example-Based Explainable AI and its Application for Remote Sensing Image Classification—0
Examining the Proximity of Adversarial Examples to Class Manifolds in Deep Networks—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