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 94519475 of 10420 papers

TitleStatusHype
3D CNN with Localized Residual Connections for Hyperspectral Image ClassificationCode0
Kannada-MNIST: A new handwritten digits dataset for the Kannada languageCode0
Active Learning via Classifier Impact and Greedy Selection for Interactive Image RetrievalCode0
DeepSat - A Learning framework for Satellite ImageryCode0
KCNet: An Insect-Inspired Single-Hidden-Layer Neural Network with Randomized Binary Weights for Prediction and Classification TasksCode0
Bridging Sensor Gaps via Attention Gated Tuning for Hyperspectral Image ClassificationCode0
Deep Retinal Image UnderstandingCode0
Recipe recognition with large multimodal food datasetCode0
Deep Residual Networks with Exponential Linear UnitCode0
Reciprocal Supervised Learning Improves Neural Machine TranslationCode0
Breast-NET: a lightweight DCNN model for breast cancer detection and grading using histological samplesCode0
Breast cancer image classification on WSI with spatial correlationsCode0
Brain-inspired predictive coding dynamics improve the robustness of deep neural networksCode0
Deep Residual Network based Automatic Image Grading for Diabetic Macular EdemaCode0
Kernel computations from large-scale random features obtained by Optical Processing UnitsCode0
Robust Visual Tracking Using Oblique Random ForestsCode0
KernelDNA: Dynamic Kernel Sharing via Decoupled Naive AdaptersCode0
A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class ClassificationCode0
MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone ArchitectureCode0
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networksCode0
PolSAR Image Classification Based on Dilated Convolution and Pixel-Refining Parallel Mapping network in the Complex DomainCode0
A Dynamic Reduction Network for Point CloudsCode0
Bounded logit attention: Learning to explain image classifiersCode0
Kernel Normalized Convolutional NetworksCode0
A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural NetworksCode0
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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
10RevCol-HTop 1 Accuracy90Unverified