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 6151–6175 of 10420 papers

TitleStatusHype
Gradient-based Class Weighting for Unsupervised Domain Adaptation in Dense Prediction Visual Tasks—0
MaskConnect: Connectivity Learning by Gradient Descent—0
Corrosion Detection for Industrial Objects: From Multi-Sensor System to 5D Feature Space—0
A Text-Image Pair Is not Enough: Language-Vision Relation Inference with Auxiliary Modality Translation—0
Masked Face Image Classification with Sparse Representation based on Majority Voting Mechanism—0
MoBiNet: A Mobile Binary Network for Image Classification—0
Model-free Optical Processors using In Situ Reinforcement Learning with Proximal Policy Optimization—0
Understanding Dropout as an Optimization Trick—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
MMF: Multi-Task Multi-Structure Fusion for Hierarchical Image Classification—0
GPT-4 Vision on Medical Image Classification -- A Case Study on COVID-19 Dataset—0
GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as A Plug-and-Play Transductive Model for Medical Image Analysis—0
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification—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
Disguised-Nets: Image Disguising for Privacy-preserving Outsourced Deep Learning—0
Matching Distributions via Optimal Transport for Semi-Supervised Learning—0
Matching Feature Sets for Few-Shot Image Classification—0
Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification—0
MMFormer: Multimodal Transformer Using Multiscale Self-Attention for Remote Sensing Image Classification—0
Disrupting Model Training with Adversarial Shortcuts—0
Matrix Is All You Need—0
GPC: Generative and General Pathology Image Classifier—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