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 5126–5150 of 10420 papers

TitleStatusHype
Looking at the posterior: accuracy and uncertainty of neural-network predictions—0
Differentially Private Image Classification from FeaturesCode0
EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational DataCode0
Self-Supervised Learning based on Heat Equation—0
Data Augmentation Vision Transformer for Fine-grained Image Classification—0
AugOp: Inject Transformation into Neural Operator—0
Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision—0
Word-Level Representation From Bytes For Language Modeling—0
Relating Regularization and Generalization through the Intrinsic Dimension of Activations—0
Semantic Guided Level-Category Hybrid Prediction Network for Hierarchical Image Classification—0
Rethinking Implicit Neural Representations for Vision Learners—0
Dynamic Loss For Robust LearningCode0
Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving—0
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models—0
Modeling Hierarchical Structural Distance for Unsupervised Domain Adaptation—0
Blind Knowledge Distillation for Robust Image ClassificationCode0
Neural Dependencies Emerging from Learning Massive Categories—0
Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models—0
Feature Weaken: Vicinal Data Augmentation for Classification—0
Learning to Generate Image Embeddings with User-level Differential Privacy—0
Frozen Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks—0
An Algorithm for Routing Vectors in Sequences—0
R2-MLP: Round-Roll MLP for Multi-View 3D Object RecognitionCode0
Non-Coherent Over-the-Air Decentralized Gradient Descent—0
Personalized Federated Learning with Hidden Information on Personalized Prior—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