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

Showing 28012810 of 10420 papers

TitleStatusHype
Improving k-Means Clustering Performance with Disentangled Internal RepresentationsCode0
Improving Memory Efficiency for Training KANs via Meta LearningCode0
Improving Pre-Trained Weights Through Meta-Heuristics Fine-TuningCode0
BlockQNN: Efficient Block-wise Neural Network Architecture GenerationCode0
An Efficient Quantum Classifier Based on Hamiltonian RepresentationsCode0
An Efficient Framework for Enhancing Discriminative Models via Diffusion TechniquesCode0
Improving Fairness in Image Classification via SketchingCode0
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output CodesCode0
Blind Knowledge Distillation for Robust Image ClassificationCode0
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural NetworkCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified