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 37913800 of 10420 papers

TitleStatusHype
Vision-Language Pre-training: Basics, Recent Advances, and Future TrendsCode3
Explaining Image Classification with Visual DebatesCode0
Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak LabelsCode0
Federated Learning with Privacy-Preserving Ensemble Attention Distillation0
Compressive Image Classification using Deterministic Sensing Matrices0
POGD: Gradient Descent with New Stochastic Rules0
Attention Regularized Laplace Graph for Domain Adaptation0
Providing Error Detection for Deep Learning Image Classifiers Using Self-Explainability0
MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layersCode0
CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models0
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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