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 40314040 of 10420 papers

TitleStatusHype
Designing Adaptive Neural Networks for Energy-Constrained Image Classification0
Descriptive analysis of computational methods for automating mammograms with practical applications0
Beyond cross-entropy: learning highly separable feature distributions for robust and accurate classification0
Analyzing Filters Toward Efficient ConvNet0
FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients0
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning0
FedDropoutAvg: Generalizable federated learning for histopathology image classification0
Compositional Attribute Imbalance in Vision Datasets0
Dermoscopic Image Classification with Neural Style Transfer0
Depthwise-STFT based separable Convolutional Neural Networks0
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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
10RevCol-HTop 1 Accuracy90Unverified