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 34313440 of 10420 papers

TitleStatusHype
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs BetterCode0
REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning0
Classification Metrics for Image Explanations: Towards Building Reliable XAI-EvaluationsCode0
A Novel Time Series-to-Image Encoding Approach for Weather Phenomena Classification0
Data-Free Generative Replay for Class-Incremental Learning on Imbalanced DataCode0
Cooperative Meta-Learning with Gradient AugmentationCode0
OCCAM: Towards Cost-Efficient and Accuracy-Aware Image Classification Inference0
Can Language Models Use Forecasting Strategies?0
ReDistill: Residual Encoded Distillation for Peak Memory Reduction0
Exploiting LMM-based knowledge for image classification tasks0
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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