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 10811090 of 10420 papers

TitleStatusHype
DLME: Deep Local-flatness Manifold EmbeddingCode1
AIDeveloper: deep learning image classification in life science and beyondCode1
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate ShiftCode1
Distilling Out-of-Distribution Robustness from Vision-Language Foundation ModelsCode1
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural NetworksCode1
Distilling Visual Priors from Self-Supervised LearningCode1
Distribution Alignment: A Unified Framework for Long-tail Visual RecognitionCode1
batchboost: regularization for stabilizing training with resistance to underfitting & overfittingCode1
Boosting Memory Efficiency in Transfer Learning for High-Resolution Medical Image ClassificationCode1
Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine SynergyCode1
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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