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 27612770 of 10420 papers

TitleStatusHype
Improving Nonlinear Projection Heads using Pretrained Autoencoder EmbeddingsCode0
Born Again Neural NetworksCode0
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck ModelsCode0
Bootstrapping the Relationship Between Images and Their Clean and Noisy LabelsCode0
Improving Generalization of Batch Whitening by Convolutional Unit OptimizationCode0
Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost TuningCode0
3D CNN with Localized Residual Connections for Hyperspectral Image ClassificationCode0
SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image ClassificationCode0
Improving k-Means Clustering Performance with Disentangled Internal RepresentationsCode0
Improving Ensemble Distillation With Weight Averaging and Diversifying PerturbationCode0
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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