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 121130 of 10419 papers

TitleStatusHype
GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language ModelsCode2
GIT: A Generative Image-to-text Transformer for Vision and LanguageCode2
GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNsCode2
GrootVL: Tree Topology is All You Need in State Space ModelCode2
HAIR: Hypernetworks-based All-in-One Image RestorationCode2
HGRN2: Gated Linear RNNs with State ExpansionCode2
Effective Data Augmentation With Diffusion ModelsCode2
Dilated Neighborhood Attention TransformerCode2
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural NetworksCode2
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image ClassificationCode2
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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