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 4551–4575 of 10420 papers

TitleStatusHype
A Low Rank Promoting Prior for Unsupervised Contrastive Learning—0
Deep Convolutional Decision Jungle for Image Classification—0
Image Quality Is Not All You Want: Task-Driven Lens Design for Image Classification—0
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning—0
Deep Context-Aware Kernel Networks—0
Accumulator-Aware Post-Training Quantization—0
Image Recognition using Region Creep—0
Image Retrieval based on Bag-of-Words model—0
Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification—0
ImageNet MPEG-7 Visual Descriptors - Technical Report—0
A Low-Cost Neural ODE with Depthwise Separable Convolution for Edge Domain Adaptation on FPGAs—0
Adaptive Class Preserving Representation for Image Classification—0
Deep Collective Learning: Learning Optimal Inputs and Weights Jointly in Deep Neural Networks—0
Deep Collaborative Learning for Visual Recognition—0
Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models—0
Deep CNNs for Peripheral Blood Cell Classification—0
A Low-cost and Ultra-lightweight Binary Neural Network for Traffic Signal Recognition—0
Image quality assessment for machine learning tasks using meta-reinforcement learning—0
Image Retrieval with Fisher Vectors of Binary Features—0
Imbalanced Classification in Medical Imaging via Regrouping—0
Impact of Data Normalization on Deep Neural Network for Time Series Forecasting—0
Improved Multi-Source Domain Adaptation by Preservation of Factors—0
Interpreting Equivariant Representations—0
Deep CNNs for large scale species classification—0
Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks—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