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 30713080 of 10420 papers

TitleStatusHype
Discriminative Distillation to Reduce Class Confusion in Continual Learning0
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration0
Evidential Federated Learning for Skin Lesion Image Classification0
Disentangled Deep Autoencoding Regularization for Robust Image Classification0
Discriminative and Geometry Aware Unsupervised Domain Adaptation0
An Empirical Investigation into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image Classification0
An empirical study of domain-agnostic semi-supervised learning via energy-based models: joint-training and pre-training0
An Empirical Study of Adder Neural Networks for Object Detection0
Event-Based Control for Online Training of Neural Networks0
Self-Attention Capsule Networks for Object 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
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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified