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 2601–2650 of 10419 papers

TitleStatusHype
Input Invex Neural NetworkCode0
In-Place Activated BatchNorm for Memory-Optimized Training of DNNsCode0
Initialization Matters for Adversarial Transfer LearningCode0
Input-gradient space particle inference for neural network ensemblesCode0
Instance-based Label Smoothing For Better Calibrated Classification NetworksCode0
Center Smoothing: Certified Robustness for Networks with Structured OutputsCode0
Information Competing Process for Learning Diversified RepresentationsCode0
An Optimized Toolbox for Advanced Image Processing with Tsetlin Machine CompositesCode0
Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image ClassificationCode0
Intelligent Multi-View Test Time AugmentationCode0
Cell image classification: a comparative overviewCode0
In-domain representation learning for remote sensingCode0
Inference via Sparse Coding in a Hierarchical Vision ModelCode0
CECT: Controllable Ensemble CNN and Transformer for COVID-19 Image ClassificationCode0
In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image ClassificationCode0
Revisiting 16-bit Neural Network Training: A Practical Approach for Resource-Limited LearningCode0
InDL: A New Dataset and Benchmark for In-Diagram Logic Interpretation based on Visual IllusionCode0
Influence of Image Classification Accuracy on Saliency Map EstimationCode0
Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image ClassificationCode0
Understanding Intrinsic Robustness Using Label UncertaintyCode0
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural NetworksCode0
Anomaly Detection of Adversarial Examples using Class-conditional Generative Adversarial NetworksCode0
CBIR using features derived by Deep LearningCode0
CBGT-Net: A Neuromimetic Architecture for Robust Classification of Streaming DataCode0
CBAM: Convolutional Block Attention ModuleCode0
An Intelligent Remote Sensing Image Quality Inspection SystemCode0
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral FiltersCode0
Improving the repeatability of deep learning models with Monte Carlo dropoutCode0
Improving the trustworthiness of image classification models by utilizing bounding-box annotationsCode0
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human ExpertsCode0
Improving the Gating Mechanism of Recurrent Neural NetworksCode0
Improving Transferability of Adversarial Examples with Input DiversityCode0
Improvising the Learning of Neural Networks on Hyperspherical ManifoldCode0
Causal importance of orientation selectivity for generalization in image recognitionCode0
A noisy elephant in the room: Is your out-of-distribution detector robust to label noise?Code0
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase SamplingCode0
Improving robustness to corruptions with multiplicative weight perturbationsCode0
Improving singing voice separation with the Wave-U-Net using Minimum Hyperspherical EnergyCode0
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classificationCode0
Annotating Ambiguous Images: General Annotation Strategy for High-Quality Data with Real-World Biomedical ValidationCode0
Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and RetrainingCode0
Improving Random-Sampling Neural Architecture Search by Evolving the Proxy Search SpaceCode0
Annealing Knowledge DistillationCode0
Improving Nonlinear Projection Heads using Pretrained Autoencoder EmbeddingsCode0
Improving Neural Architecture Search Image Classifiers via Ensemble LearningCode0
CATALOG: A Camera Trap Language-guided Contrastive Learning ModelCode0
Improving Memory Efficiency for Training KANs via Meta LearningCode0
Improving model calibration with accuracy versus uncertainty optimizationCode0
Improving Pairwise Ranking for Multi-label Image ClassificationCode0
Improving k-Means Clustering Performance with Disentangled Internal RepresentationsCode0
Show:102550
← PrevPage 53 of 209Next →
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