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 24312440 of 10420 papers

TitleStatusHype
Adversarial Training for Relation Extraction0
Combined convolutional and recurrent neural networks for hierarchical classification of images0
Differentiable Combinatorial Losses through Generalized Gradients of Linear Programs0
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap0
A Bag of Visual Words Model for Medical Image Retrieval0
Combating Noisy Labels in Long-Tailed Image Classification0
Are all negatives created equal in contrastive instance discrimination?0
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification0
Adversarial Training for Graph Neural Networks via Graph Subspace Energy Optimization0
Divergent Search for Few-Shot 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
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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