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 6651–6675 of 10420 papers

TitleStatusHype
Generate, Annotate, and Learn: NLP with Synthetic TextCode0
Deep neural network loses attention to adversarial images—0
Verifying Quantized Neural Networks using SMT-Based Model Checking—0
Cross-domain Contrastive Learning for Unsupervised Domain AdaptationCode0
Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems—0
Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching—0
The Randomness of Input Data Spaces is an A Priori Predictor for Generalization—0
SpaceMeshLab: Spatial Context Memoization and Meshgrid Atrous Convolution Consensus for Semantic Segmentation—0
Scaling Vision Transformers—0
An Intelligent Hybrid Model for Identity Document Classification—0
Redundant representations help generalization in wide neural networksCode0
MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders—0
Making EfficientNet More Efficient: Exploring Batch-Independent Normalization, Group Convolutions and Reduced Resolution TrainingCode0
Frustratingly Easy Uncertainty Estimation for Distribution Shift—0
TENGraD: Time-Efficient Natural Gradient Descent with Exact Fisher-Block InversionCode0
Reveal of Vision Transformers Robustness against Adversarial Attacks—0
Robust Implicit Networks via Non-Euclidean ContractionsCode0
Semi-Supervised Domain Adaptation via Adaptive and Progressive Feature Alignment—0
An End-to-End Breast Tumour Classification Model Using Context-Based Patch Modelling- A BiLSTM Approach for Image Classification—0
GasHisSDB: A New Gastric Histopathology Image Dataset for Computer Aided Diagnosis of Gastric CancerCode0
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of AttentionCode0
X-volution: On the unification of convolution and self-attention—0
A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer—0
When Vision Transformers Outperform ResNets without Pre-training or Strong Data AugmentationsCode0
Nonuniform Defocus Removal for Image Classification—0
Show:102550
← PrevPage 267 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
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