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 36313640 of 10420 papers

TitleStatusHype
Word-Level Representation From Bytes For Language Modeling0
Data Augmentation Vision Transformer for Fine-grained Image Classification0
AugOp: Inject Transformation into Neural Operator0
ActMAD: Activation Matching to Align Distributions for Test-Time-TrainingCode1
Self-Supervised Learning based on Heat Equation0
Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving0
Dynamic Loss For Robust LearningCode0
Rethinking Implicit Neural Representations for Vision Learners0
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models0
Semantic Guided Level-Category Hybrid Prediction Network for Hierarchical Image Classification0
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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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified