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 6170 of 10419 papers

TitleStatusHype
Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks0
Improving Memory Efficiency for Training KANs via Meta LearningCode0
Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification0
pFedSOP : Accelerating Training Of Personalized Federated Learning Using Second-Order Optimization0
SAFE: Finding Sparse and Flat Minima to Improve PruningCode1
Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost AsymmetryCode0
FPDANet: A Multi-Section Classification Model for Intelligent Screening of Fetal Ultrasound0
Eigenspectrum Analysis of Neural Networks without Aspect Ratio BiasCode1
Interpretable Few-Shot Image Classification via Prototypical Concept-Guided Mixture of LoRA Experts0
Recent Advances in Medical Image Classification0
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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