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 14511460 of 10420 papers

TitleStatusHype
Image Classification with Small Datasets: Overview and BenchmarkCode1
Deep Factorized Metric LearningCode1
Image Difference Captioning with Pre-training and Contrastive LearningCode1
Image-free Classifier Injection for Zero-Shot ClassificationCode1
Image sensing with multilayer, nonlinear optical neural networksCode1
Imbalanced Image Classification with Complement Cross EntropyCode1
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding AttacksCode1
Improved Baselines with Momentum Contrastive LearningCode1
AdaScale SGD: A User-Friendly Algorithm for Distributed TrainingCode1
CSPNet: A New Backbone that can Enhance Learning Capability of CNNCode1
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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