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 5351–5400 of 10420 papers

TitleStatusHype
Learning Deep Optimal Embeddings with Sinkhorn Divergences—0
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation—0
PaLI: A Jointly-Scaled Multilingual Language-Image Model—0
ConvNeXt Based Neural Network for Audio Anti-SpoofingCode0
On the interplay of adversarial robustness and architecture components: patches, convolution and attention—0
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends—0
Moving from 2D to 3D: volumetric medical image classification for rectal cancer stagingCode0
Class-Level Logit PerturbationCode0
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation—0
Unsupervised representation learning with recognition-parametrised probabilistic modelsCode0
A Capsule Network for Hierarchical Multi-Label Image Classification—0
Revisiting Neural Scaling Laws in Language and Vision—0
Virtual Underwater Datasets for Autonomous Inspections—0
Towards Sparsification of Graph Neural NetworksCode0
OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning—0
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation—0
Deep learning in a bilateral brain with hemispheric specializationCode0
Continual learning benefits from multiple sleep mechanisms: NREM, REM, and Synaptic Downscaling—0
Exploring Target Representations for Masked AutoencodersCode0
RGB-X Classification for Electronics Sorting—0
Sign Language Detection—0
Improving plant disease classification by adaptive minimal ensembling—0
Losing momentum in continuous-time stochastic optimisation—0
Responsibility: An Example-based Explainable AI approach via Training Process Inspection—0
Plant Species Classification Using Transfer Learning by Pretrained Classifier VGG-19—0
On the Transferability of Adversarial Examples between Encrypted Models—0
Language-aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification—0
Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) with Diverse Inter-Correlations and its application to medical image classification—0
TransCAB: Transferable Clean-Annotation Backdoor to Object Detection with Natural Trigger in Real-WorldCode0
ViTKD: Practical Guidelines for ViT feature knowledge distillation—0
Towards Deep Learning-aided Wireless Channel Estimation and Channel State Information Feedback for 6G—0
Multi-frequency PolSAR Image Fusion Classification Based on Semantic Interactive Information and Topological Structure—0
Imaging with Equivariant Deep Learning—0
Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification—0
Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification—0
Class-Specific Channel Attention for Few-Shot Learning—0
Vision Transformers and YoloV5 based Driver Drowsiness Detection Framework—0
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing LabelsCode0
BinImg2Vec: Augmenting Malware Binary Image Classification with Data2Vec—0
Impact of Scaled Image on Robustness of Deep Neural Networks—0
Impact of Colour Variation on Robustness of Deep Neural Networks—0
Fast Fourier Convolution Based Remote Sensor Image Object Detection for Earth Observation—0
Combating Noisy Labels in Long-Tailed Image Classification—0
To Store or Not? Online Data Selection for Federated Learning with Limited Storage—0
Learning with Differentiable Algorithms—0
ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image ClassificationCode0
Incremental Online Learning Algorithms Comparison for Gesture and Visual Smart Sensors—0
Mayfly optimization with deep learning enabled retinal fundus image classification model—0
Ontology of Visual Objects—0
Transfering Low-Frequency Features for Domain Adaptation—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