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 831840 of 10420 papers

TitleStatusHype
Towards Better Multi-head Attention via Channel-wise Sample PermutationCode0
GlobalMamba: Global Image Serialization for Vision MambaCode1
SkillAggregation: Reference-free LLM-Dependent Aggregation0
Ensemble of ConvNeXt V2 and MaxViT for Long-Tailed CXR Classification with View-Based AggregationCode0
big.LITTLE Vision Transformer for Efficient Visual Recognition0
Enhancing JEPAs with Spatial Conditioning: Robust and Efficient Representation Learning0
Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models?0
Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning0
Understanding Robustness of Parameter-Efficient Tuning for Image ClassificationCode0
Robust 3D Point Clouds Classification based on Declarative DefendersCode1
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 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