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 261270 of 10419 papers

TitleStatusHype
KernelDNA: Dynamic Kernel Sharing via Decoupled Naive AdaptersCode0
Efficient Dynamic Attention 3D Convolution for Hyperspectral Image ClassificationCode0
DC-SGD: Differentially Private SGD with Dynamic Clipping through Gradient Norm Distribution Estimation0
FairSAM: Fair Classification on Corrupted Data Through Sharpness-Aware Minimization0
Diffusion models applied to skin and oral cancer classification0
GmNet: Revisiting Gating Mechanisms From A Frequency View0
Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep ModelsCode0
On Large Multimodal Models as Open-World Image ClassifiersCode1
Neural Architecture Search by Learning a Hierarchical Search Space0
Retinal Fundus Multi-Disease Image Classification using Hybrid CNN-Transformer-Ensemble ArchitecturesCode0
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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