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 11111120 of 10420 papers

TitleStatusHype
Active Token MixerCode1
Bayesian Model-Agnostic Meta-LearningCode1
Diverse Sample Generation: Pushing the Limit of Generative Data-free QuantizationCode1
Bayesian Neural Network Priors RevisitedCode1
Diversified in-domain synthesis with efficient fine-tuning for few-shot classificationCode1
Diversify and Disambiguate: Learning From Underspecified DataCode1
A graph-transformer for whole slide image classificationCode1
DiT: Self-supervised Pre-training for Document Image TransformerCode1
Divergences in Color Perception between Deep Neural Networks and HumansCode1
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate ShiftCode1
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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