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 27112720 of 10420 papers

TitleStatusHype
CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images0
Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization0
CICA: Content-Injected Contrastive Alignment for Zero-Shot Document Image Classification0
CIBR: Cross-modal Information Bottleneck Regularization for Robust CLIP Generalization0
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information0
Efficient and Flexible Method for Reducing Moderate-size Deep Neural Networks with Condensation0
Churn analysis using deep convolutional neural networks and autoencoders0
Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour0
Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy0
Choosing an Appropriate Platform and Workflow for Processing Camera Trap Data using Artificial Intelligence0
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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