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 7776–7800 of 10420 papers

TitleStatusHype
A Smart System for Selection of Optimal Product Images in E-Commerce—0
Rank4Class: A Ranking Formulation for Multiclass Classification—0
Rank4Class: Examining Multiclass Classification through the Lens of Learning to Rank—0
Confusable Learning for Large-class Few-Shot Classification—0
Rank Selection of CP-decomposed Convolutional Layers with Variational Bayesian Matrix Factorization—0
Extrapolation Frameworks in Cognitive Psychology Suitable for Study of Image Classification Models—0
A Framework using Contrastive Learning for Classification with Noisy Labels—0
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder—0
Recurrent Convolution for Compact and Cost-Adjustable Neural Networks: An Empirical Study—0
Fixing Weight Decay Regularization in Adam—0
Fixing the Teacher-Student Knowledge Discrepancy in Distillation—0
RaViTT: Random Vision Transformer Tokens—0
A Smart Recycling Bin Using Waste Image Classification At The Edge—0
Raw Waveform-based Audio Classification Using Sample-level CNN Architectures—0
RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection—0
RC-DARTS: Resource Constrained Differentiable Architecture Search—0
RCKD: Response-Based Cross-Task Knowledge Distillation for Pathological Image Analysis—0
Activation Space Selectable Kolmogorov-Arnold Networks—0
R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut—0
Fixed smooth convolutional layer for avoiding checkerboard artifacts in CNNs—0
Reading Is Believing: Revisiting Language Bottleneck Models for Image Classification—0
CONFINE: Conformal Prediction for Interpretable Neural Networks—0
Fixed-Point Back-Propagation Training—0
ASL Recognition with Metric-Learning based Lightweight Network—0
A framework for the automation of testing computer vision systems—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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified