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

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Showing 7651–7700 of 10420 papers

TitleStatusHype
E2GC: Energy-efficient Group Convolution in Deep Neural NetworksCode0
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection—0
A Comparative Analysis on Bangla Handwritten Digit Recognition with Data Augmentation and Non-Augmentation ProcessCode0
Diverse Knowledge Distillation (DKD): A Solution for Improving The Robustness of Ensemble Models Against Adversarial Attacks—0
Target Consistency for Domain Adaptation: when Robustness meets Transferability—0
Set Based Stochastic Subsampling—0
When Do Neural Networks Outperform Kernel Methods?Code0
Learning Interclass Relations for Image Classification—0
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction—0
Ramanujan Bipartite Graph Products for Efficient Block Sparse Neural Networks—0
Hyperparameter Ensembles for Robustness and Uncertainty QuantificationCode0
Time for a Background Check! Uncovering the impact of Background Features on Deep Neural Networks—0
Post-hoc Calibration of Neural Networks by g-Layers—0
Effective Version Space Reduction for Convolutional Neural Networks—0
Don’t Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights—0
Auxiliary Learning by Implicit Differentiation—0
RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image Classification—0
MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of GradientsCode0
Gradient-EM Bayesian Meta-learning—0
Adversarial Transfer of Pose Estimation Regression—0
Unsupervised Image Classification for Deep Representation LearningCode0
A Bayesian Evaluation Framework for Subjectively Annotated Visual Recognition TasksCode0
Keep Your AI-es on the Road: Tackling Distracted Driver Detection with Convolutional Neural Networks and Targeted Data Augmentation—0
Adaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional NetworksCode0
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning—0
COVIDLite: A depth-wise separable deep neural network with white balance and CLAHE for detection of COVID-19—0
Neural Parameter Allocation SearchCode0
SatImNet: Structured and Harmonised Training Data for Enhanced Satellite Imagery Classification—0
Semi-Supervised Recognition under a Noisy and Fine-grained Dataset—0
Image classification in frequency domain with 2SReLU: a second harmonics superposition activation functionCode0
Frost filtered scale-invariant feature extraction and multilayer perceptron for hyperspectral image classification—0
Using Wavelets and Spectral Methods to Study Patterns in Image-Classification DatasetsCode0
Multi-Subspace Neural Network for Image Recognition—0
Enhancing Few-Shot Image Classification with Unlabelled Examples—0
Deep Categorization with Semi-Supervised Self-Organizing MapsCode0
A block coordinate descent optimizer for classification problems exploiting convexity—0
Constraint-Based Regularization of Neural Networks—0
Robust Federated Learning: The Case of Affine Distribution Shifts—0
Visual and Textual Deep Feature Fusion for Document Image Classification—0
A Study of Compositional Generalization in Neural Models—0
Fine-Tuning DARTS for Image Classification—0
On the training dynamics of deep networks with L_2 regularizationCode0
Optimal Complexity in Decentralized Training—0
Explicitly Modeled Attention Maps for Image Classification—0
Domain Adaptation and Image Classification via Deep Conditional Adaptation Network—0
Meta Approach to Data Augmentation Optimization—0
Topology-aware Differential Privacy for Decentralized Image Classification—0
DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition—0
Split-Merge Pooling—0
Move-to-Data: A new Continual Learning approach with Deep CNNs, Application for image-class recognition—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