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 161170 of 10419 papers

TitleStatusHype
A Vision-Language Foundation Model for Leaf Disease IdentificationCode0
Active Learning for Multi-class Image Classification0
Image Classification Using a Diffusion Model as a Pre-Training Model0
Achieving 3D Attention via Triplet Squeeze and Excitation Block0
Adapting a Segmentation Foundation Model for Medical Image Classification0
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints0
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output CodesCode0
In-Context Learning for Label-Efficient Cancer Image Classification in Oncology0
Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It0
V-EfficientNets: Vector-Valued Efficiently Scaled Convolutional Neural Network ModelsCode0
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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