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 6201–6225 of 10420 papers

TitleStatusHype
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning—0
Boosting Video Captioning with Dynamic Loss Network—0
Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning—0
GQKVA: Efficient Pre-training of Transformers by Grouping Queries, Keys, and Values—0
A Technical Report for VIPriors Image Classification Challenge—0
TorchQL: A Programming Framework for Integrity Constraints in Machine Learning—0
ModelLock: Locking Your Model With a Spell—0
GPT-4 Vision on Medical Image Classification -- A Case Study on COVID-19 Dataset—0
Distilling High Diagnostic Value Patches for Whole Slide Image Classification Using Attention Mechanism—0
GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as A Plug-and-Play Transductive Model for Medical Image Analysis—0
An End-to-End Breast Tumour Classification Model Using Context-Based Patch Modelling- A BiLSTM Approach for Image Classification—0
Measuring directional bias amplification in image captions using predictability—0
Measuring Model Biases in the Absence of Ground Truth—0
A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification—0
GP-NAS: Gaussian Process Based Neural Architecture Search—0
Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models—0
Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification—0
Measuring the Success of Diffusion Models at Imitating Human Artists—0
Modelling Multi-modal Cross-interaction for ML-FSIC Based on Local Feature Selection—0
MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network—0
Models Developed for Spiking Neural Networks—0
GPC: Generative and General Pathology Image Classifier—0
Correlated Input-Dependent Label Noise in Large-Scale Image Classification—0
Google street view and deep learning: a new ground truthing approach for crop mapping—0
Google is all you need: Semi-Supervised Transfer Learning Strategy For Light Multimodal Multi-Task Classification Model—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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified