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
Introspective Deep Metric Learning for Image RetrievalCode1
When does dough become a bagel? Analyzing the remaining mistakes on ImageNetCode1
CCMB: A Large-scale Chinese Cross-modal BenchmarkCode1
Investigating and Explaining the Frequency Bias in Image ClassificationCode1
Image Classification With Small Datasets: Overview and BenchmarkCode1
CoCa: Contrastive Captioners are Image-Text Foundation ModelsCode1
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)Code1
Better plain ViT baselines for ImageNet-1kCode1
Engineering flexible machine learning systems by traversing functionally-invariant pathsCode1
NeuralEF: Deconstructing Kernels by Deep Neural NetworksCode1
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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