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 15311540 of 10420 papers

TitleStatusHype
Sparse Spiking Gradient DescentCode1
Relative Positional Encoding for Transformers with Linear ComplexityCode1
Vision Transformers are Robust LearnersCode1
Pay Attention to MLPsCode1
Towards Robust Vision TransformerCode1
Semi-Supervised Classification and Segmentation on High Resolution Aerial ImagesCode1
MutualNet: Adaptive ConvNet via Mutual Learning from Different Model ConfigurationsCode1
Segmenter: Transformer for Semantic SegmentationCode1
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy LabelsCode1
A Bregman Learning Framework for Sparse 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