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 3426–3450 of 10420 papers

TitleStatusHype
A Privacy Preserving Method with a Random Orthogonal Matrix for ConvMixer Models—0
Dynamic Grained Encoder for Vision TransformersCode1
Deep Learning based Multi-Label Image Classification of Protest Activities—0
Semi-Supervised Learning with Pseudo-Negative Labels for Image ClassificationCode0
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked ModelingCode3
Learning Support and Trivial Prototypes for Interpretable Image ClassificationCode1
Image Data Augmentation Approaches: A Comprehensive Survey and Future directionsCode0
Improving Human-AI Collaboration With Descriptions of AI Behavior—0
SEQUENT: Towards Traceable Quantum Machine Learning using Sequential Quantum Enhanced TrainingCode0
Artificial intelligence based glaucoma and diabetic retinopathy detection using MATLAB — retrained AlexNet convolutional neural networkCode0
Skip-Attention: Improving Vision Transformers by Paying Less Attention—0
Convolutional XGBoost (C-XGBOOST) Model for Brain Tumor Detection—0
Semi-MAE: Masked Autoencoders for Semi-supervised Vision Transformers—0
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal RepresentationsCode0
MoBYv2AL: Self-supervised Active Learning for Image ClassificationCode1
TinyMIM: An Empirical Study of Distilling MIM Pre-trained ModelsCode1
Explainability and Robustness of Deep Visual Classification Models—0
A New Perspective to Boost Vision Transformer for Medical Image Classification—0
Acne Severity Grading on Face Images via Extraction and Guidance of Prior KnowledgeCode0
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy LabelsCode1
Accelerate adversarial training with loss guided propagation for robust image classificationCode0
Scene-Aware Label Graph Learning for Multi-Label Image Classification—0
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse RetrievalCode1
Class-Aware Patch Embedding Adaptation for Few-Shot Image ClassificationCode1
Growing a Brain with Sparsity-Inducing Generation for Continual LearningCode0
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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