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 24612470 of 10420 papers

TitleStatusHype
AAVAE: Augmentation-Augmented Variational Autoencoders0
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models0
Collaborative Image Understanding0
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense0
DMSANet: Dual Multi Scale Attention Network0
Increasing Depth Leads to U-Shaped Test Risk in Over-parameterized Convolutional Networks0
Does deep learning model calibration improve performance in class-imbalanced medical image classification?0
Domain2Vec: Deep Domain Generalization0
Doubly Sparse: Sparse Mixture of Sparse Experts for Efficient Softmax Inference0
Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs0
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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