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

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Showing 4826–4850 of 10420 papers

TitleStatusHype
Decision boundaries and convex hulls in the feature space that deep learning functions learn from images—0
Learning with Neighbor Consistency for Noisy Labels—0
Choosing an Appropriate Platform and Workflow for Processing Camera Trap Data using Artificial Intelligence—0
Backpropagation Neural TreeCode0
Best Practices and Scoring System on Reviewing A.I. based Medical Imaging Papers: Part 1 Classification—0
Learning strides in convolutional neural networksCode1
FORML: Learning to Reweight Data for Fairness—0
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone DecompositionsCode1
VOS: Learning What You Don't Know by Virtual Outlier SynthesisCode2
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning—0
Classification of Skin Cancer Images using Convolutional Neural Networks—0
Access Control of Object Detection Models Using Encrypted Feature Maps—0
When Do Flat Minima Optimizers Work?Code1
Fortuitous Forgetting in Connectionist NetworksCode1
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks?Code1
AntidoteRT: Run-time Detection and Correction of Poison Attacks on Neural NetworksCode0
Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons—0
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy—0
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANsCode1
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data AugmentationsCode1
Volley Revolver: A Novel Matrix-Encoding Method for Privacy-Preserving Neural Networks (Inference)Code0
Image Classification using Graph Neural Network and Multiscale Wavelet Superpixels—0
Towards Robust Deep Active Learning for Scientific Computing—0
Low-rank features based double transformation matrices learning for image classification—0
DynaMixer: A Vision MLP Architecture with Dynamic MixingCode1
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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