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

Showing 83268350 of 10420 papers

TitleStatusHype
Fully trainable Gaussian derivative convolutional layerCode0
Expert Gate: Lifelong Learning with a Network of ExpertsCode0
A Deeper Look into Convolutions via Eigenvalue-based PruningCode0
LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model TrainingCode0
An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural NetworksCode0
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based TrainingCode0
Robust MRI Reconstruction by Smoothed Unrolling (SMUG)Code0
Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial NetworksCode0
Expeditious Saliency-guided Mix-up through Random Gradient ThresholdingCode0
Co-Teaching for Unsupervised Domain Adaptation and ExpansionCode0
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomicsCode0
Fusing CNNs and statistical indicators to improve image classificationCode0
Cost-Effective Active Learning for Deep Image ClassificationCode0
Expanding-and-Shrinking Binary Neural NetworksCode0
COSE: A Consistency-Sensitivity Metric for Saliency on Image ClassificationCode0
On the Generalizability of Iterative Patch Selection for Memory-Efficient High-Resolution Image ClassificationCode0
Fuzziness-based Spatial-Spectral Class Discriminant Information Preserving Active Learning for Hyperspectral Image ClassificationCode0
An Effective Weight Initialization Method for Deep Learning: Application to Satellite Image ClassificationCode0
Correlation Congruence for Knowledge DistillationCode0
Correlation-Based Band Selection for Hyperspectral Image ClassificationCode0
RemoteTrimmer: Adaptive Structural Pruning for Remote Sensing Image ClassificationCode0
Fuzzy Rank-based Fusion of CNN Models using Gompertz Function for Screening COVID-19 CT-ScansCode0
ANDHRA Bandersnatch: Training Neural Networks to Predict Parallel RealitiesCode0
PR Product: A Substitute for Inner Product in Neural NetworksCode0
TransCAB: Transferable Clean-Annotation Backdoor to Object Detection with Natural Trigger in Real-WorldCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified