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 2301–2325 of 10420 papers

TitleStatusHype
CompNet: A Designated Model to Handle Combinations of Images and Designed features—0
Complex-valued reservoir computing for aspect classification and slope-angle estimation with low computational cost and high resolution in interferometric synthetic aperture radar—0
Art Authentication with Vision Transformers—0
A Base Model Selection Methodology for Efficient Fine-Tuning—0
DiRaC-I: Identifying Diverse and Rare Training Classes for Zero-Shot Learning—0
Complex Scene Classification of PolSAR Imagery based on a Self-paced Learning Approach—0
ComplexFace: a Multi-Representation Approach for Image Classification with Small Dataset—0
Art-Attack: Black-Box Adversarial Attack via Evolutionary Art—0
A fast dynamic graph convolutional network and CNN parallel network for hyperspectral image classification—0
Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning—0
Competitive Multi-scale Convolution—0
Competition-based Adaptive ReLU for Deep Neural Networks—0
Learning scale-variant features for robust iris authentication with deep learning based ensemble framework—0
Competing Ratio Loss for Discriminative Multi-class Image Classification—0
A Fast Approximate AIB Algorithm for Distributional Word Clustering—0
Dilated Deep Residual Network for Image Denoising—0
DIME-FM: DIstilling Multimodal and Efficient Foundation Models—0
Competing Mutual Information Constraints with Stochastic Competition-based Activations for Learning Diversified Representations—0
Compensation Learning—0
A Robust and Low Complexity Deep Learning Model for Remote Sensing Image Classification—0
CORL: Compositional Representation Learning for Few-Shot Classification—0
Comparison of Update and Genetic Training Algorithms in a Memristor Crossbar Perceptron—0
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification—0
A Fast and Precise Method for Large-Scale Land-Use Mapping Based on Deep Learning—0
Comparison of Neural Models for X-ray Image Classification in COVID-19 Detection—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