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 5526–5550 of 10420 papers

TitleStatusHype
Cross-Domain Evaluation of Few-Shot Classification Models: Natural Images vs. Histopathological Images—0
Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification—0
Hashing on Nonlinear Manifolds—0
Deep reinforcement learning with automated label extraction from clinical reports accurately classifies 3D MRI brain volumes—0
Label Consistent Transform Learning for Hyperspectral Image Classification—0
Label Denoising through Cross-Model Agreement—0
Label-Efficient Group Robustness via Out-of-Distribution Concept Curation—0
Label-efficient Single Photon Images Classification via Active Learning—0
DeepRepair: Style-Guided Repairing for DNNs in the Real-world Operational Environment—0
Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transforms—0
HASeparator: Hyperplane-Assisted Softmax—0
Label Embedding with Partial Heterogeneous Contexts—0
Label Geometry Aware Discriminator for Conditional Generative Networks—0
HASA: Hybrid Architecture Search with Aggregation Strategy for Echinococcosis Classification and Ovary Segmentation in Ultrasound Images—0
Cross Domain Ensemble Distillation for Domain Generalization—0
Bayesian Optimization for Hyperparameters Tuning in Neural Networks—0
Harvesting Mid-level Visual Concepts from Large-Scale Internet Images—0
Cross-domain Deep Feature Combination for Bird Species Classification with Audio-visual Data—0
Learning transformer-based heterogeneously salient graph representation for multimodal remote sensing image classification—0
Learning Wake-Sleep Recurrent Attention Models—0
Deep Residual Network based food recognition for enhanced Augmented Reality application—0
LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization—0
Laconic Deep Learning Computing—0
Laconic Image Classification: Human vs. Machine Performance—0
Attention Enables Zero Approximation Error—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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 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
10RevCol-HTop 1 Accuracy90—Unverified