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 861870 of 10420 papers

TitleStatusHype
Parameter Efficient Fine-tuning via Explained Variance AdaptationCode1
FACMIC: Federated Adaptative CLIP Model for Medical Image ClassificationCode1
NegMerge: Consensual Weight Negation for Strong Machine UnlearningCode1
Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual Cortex0
Core Tokensets for Data-efficient Sequential Training of TransformersCode0
A second-order-like optimizer with adaptive gradient scaling for deep learningCode0
Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel MachinesCode0
Conformal Structured PredictionCode0
Variable Resolution Pixel Quantization for Low Power Machine Vision Application on Edge0
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image ClassificationCode1
Show:102550
← PrevPage 87 of 1042Next →

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