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 41814190 of 10420 papers

TitleStatusHype
Post-train Black-box Defense via Bayesian Boundary Correction0
Benchmarking MedMNIST dataset on real quantum hardware0
Defending Against Universal Perturbations With Shared Adversarial Training0
Analysis Dictionary Learning: An Efficient and Discriminative Solution0
Adaptive sampling for scanning pixel cameras0
Benchmarking Inference Performance of Deep Learning Models on Analog Devices0
Defending Against Image Corruptions Through Adversarial Augmentations0
Benchmarking FedAvg and FedCurv for Image Classification Tasks0
Defending Adversaries Using Unsupervised Feature Clustering VAE0
Hierarchical Image Classification with A Literally Toy Dataset0
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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
10RevCol-HTop 1 Accuracy90Unverified