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 4051–4100 of 10420 papers

TitleStatusHype
Leveraging CNNs and Ensemble Learning for Automated Disaster Image Classification—0
BenthIQ: a Transformer-Based Benthic Classification Model for Coral Restoration—0
EA-KD: Entropy-based Adaptive Knowledge Distillation—0
On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning—0
Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack DetectionCode0
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches—0
Evaluating Supervision Levels Trade-Offs for Infrared-Based People CountingCode0
DAS: A Deformable Attention to Capture Salient Information in CNNs—0
Asynchronous Bioplausible Neuron for SNN for Event Vision—0
Few-Shot Classification & Segmentation Using Large Language Models Agent—0
From Categories to Classifiers: Name-Only Continual Learning by Exploring the Web—0
An Improved CNN-based Neural Network Model for Fruit Sugar Level Detection—0
Learning transformer-based heterogeneously salient graph representation for multimodal remote sensing image classification—0
SENetV2: Aggregated dense layer for channelwise and global representationsCode0
Deep Learning based CNN Model for Classification and Detection of Individuals Wearing Face Mask—0
Supervised structure learning—0
FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients—0
Assurance for Deployed Continual Learning Systems—0
Improving Deep Learning Optimization through Constrained Parameter RegularizationCode0
Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output Categories—0
Using Stochastic Gradient Descent to Smooth Nonconvex Functions: Analysis of Implicit Graduated Optimization—0
Robust Brain MRI Image Classification with SIBOW-SVM—0
Domain Aligned CLIP for Few-shot Classification—0
Human-in-the-loop: Towards Label Embeddings for Measuring Classification DifficultyCode0
Simple but Effective Unsupervised Classification for Specified Domain Images: A Case Study on Fungi Images—0
Review of AlexNet for Medical Image Classification—0
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption—0
Test-Time Training for Semantic Segmentation with Output Contrastive LossCode0
Dual-channel Prototype Network for few-shot Classification of Pathological Images—0
Joint Source-Channel Coding for Channel-Adaptive Digital Semantic Communications—0
Performance of Machine Learning Classification in Mammography Images using BI-RADS—0
Learning Symmetrization for Equivariance with Orbit Distance MinimizationCode0
PadChannel: Improving CNN Performance through Explicit Padding EncodingCode0
Optimising Human-AI Collaboration by Learning Convincing Explanations—0
ActiveDC: Distribution Calibration for Active Finetuning—0
Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical ImagesCode0
Two Stream Scene Understanding on Graph Embedding—0
Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image Classification—0
Image Classification using Combination of Topological Features and Neural Networks—0
Enhancing Instance-Level Image Classification with Set-Level Labels—0
A Coefficient Makes SVRG EffectiveCode0
Intelligent Cervical Spine Fracture Detection Using Deep Learning Methods—0
GeoTop: Advancing Image Classification with Geometric-Topological Analysis—0
Towards Few-Annotation Learning in Computer Vision: Application to Image Classification and Object Detection tasks—0
Improving the Effectiveness of Deep Generative Data—0
OmniVec: Learning robust representations with cross modal sharing—0
Stacked Autoencoder Based Feature Extraction and Superpixel Generation for Multifrequency PolSAR Image Classification—0
Machine Learning-Based Tea Leaf Disease Detection: A Comprehensive Review—0
GQKVA: Efficient Pre-training of Transformers by Grouping Queries, Keys, and Values—0
Asymmetric Masked Distillation for Pre-Training Small Foundation ModelsCode0
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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