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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6701–6725 of 10420 papers

TitleStatusHype
Drawing Multiple Augmentation Samples Per Image During Training Efficiently Decreases Test Error—0
Learning Structures for Deep Neural Networks—0
Training With Data Dependent Dynamic Learning Rates—0
ViPTT-Net: Video pretraining of spatio-temporal model for tuberculosis type classification from chest CT scansCode0
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities—0
StructuralLM: Structural Pre-training for Form Understanding—0
Pulmonary embolism identification in computerized tomography pulmonary angiography scans with deep learning technologies in COVID-19 patients—0
Semi-supervised learning of images with strong rotational disorder: assembling nanoparticle librariesCode0
Improved OOD Generalization via Adversarial Training and Pre-training—0
PLM: Partial Label Masking for Imbalanced Multi-label Classification—0
Compressing Deep CNNs using Basis Representation and Spectral Fine-tuningCode0
ActCooLR – High-Level Learning Rate Schedules using Activation Pattern Temperature—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers—0
The Regularizing Effect of Different Output Layer Designs in Deep Neural Networks—0
Anomaly Detection of Adversarial Examples using Class-conditional Generative Adversarial NetworksCode0
Rotation invariant CNN using scattering transform for image classification—0
Visual representation of negation: Real world data analysis on comic image design—0
Safety Metrics for Semantic Segmentation in Autonomous Driving—0
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks—0
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray—0
Intra-Model Collaborative Learning of Neural Networks—0
Opening Deep Neural Networks with Generative ModelsCode0
Prototype Guided Federated Learning of Visual Feature Representations—0
A Lightweight Privacy-Preserving Scheme Using Label-based Pixel Block Mixing for Image Classification in Deep LearningCode0
Accelerating Gossip SGD with Periodic Global Averaging—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified