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 40614070 of 10420 papers

TitleStatusHype
Multiplex-detection Based Multiple Instance Learning Network for Whole Slide Image Classification0
A self-interpretable module for deep image classification on small dataCode0
Semi-Supervised Hyperspectral Image Classification Using a Probabilistic Pseudo-Label Generation FrameworkCode1
RadTex: Learning Efficient Radiograph Representations from Text Reports0
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz NetworksCode1
Privacy-Preserving Image Classification Using ConvMixer with Adaptive Permutation Matrix0
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image ClassificationCode1
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans0
DropKey0
Privacy Safe Representation Learning via Frequency Filtering Encoder0
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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