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 4701–4725 of 10420 papers

TitleStatusHype
Improving Few-Shot Visual Classification with Unlabelled Examples—0
Adapting the Biological SSVEP Response to Artificial Neural Networks—0
Enhancing Few-Shot Image Classification with Unlabelled Examples—0
Improving Data-Efficient Fossil Segmentation via Model Editing—0
Data Obfuscation through Latent Space Projection (LSP) for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection—0
Data Generation for Satellite Image Classification Using Self-Supervised Representation Learning—0
AUSN: Approximately Uniform Quantization by Adaptively Superimposing Non-uniform Distribution for Deep Neural Networks—0
Improving Few-Shot Image Classification Using Machine- and User-Generated Natural Language Descriptions—0
Improving Hyperbolic Representations via Gromov-Wasserstein Regularization—0
Improving Interpretability and Accuracy in Neuro-Symbolic Rule Extraction Using Class-Specific Sparse Filters—0
Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales—0
A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification—0
Dense Depth Distillation with Out-of-Distribution Simulated Images—0
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation—0
A Universal Model for Cross Modality Mapping by Relational Reasoning—0
Improving Deep Neural Networks with Probabilistic Maxout Units—0
Improving Chest X-Ray Classification by RNN-based Patient Monitoring—0
Adapting OpenAI's CLIP Model for Few-Shot Image Inspection in Manufacturing Quality Control: An Expository Case Study with Multiple Application Examples—0
Improving CNN classifiers by estimating test-time priors—0
Improving Deep Learning through Automatic Programming—0
Data Dropout: Optimizing Training Data for Convolutional Neural Networks—0
A Lightweight Neural Architecture Search Model for Medical Image Classification—0
Time-Varying Propensity Score to Bridge the Gap between the Past and Present—0
A Unified View of Long-Sequence Models towards Modeling Million-Scale Dependencies—0
A Pseudo-labelling Auto-Encoder for unsupervised image classification—0
Show:102550
← PrevPage 189 of 417Next →
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