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 7001–7025 of 10420 papers

TitleStatusHype
Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense—0
Bayesian Adaptation for Covariate Shift—0
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis—0
One-Shot Online Testing of Deep Neural Networks Based on Distribution Shift Detection—0
Kernel Task-Driven Dictionary Learning for Hyperspectral Image Classification—0
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers—0
DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework—0
Kernel Reconstruction ICA for Sparse Representation—0
Kernel principal component analysis network for image classification—0
One-Vote Veto: Semi-Supervised Learning for Low-Shot Glaucoma Diagnosis—0
Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification—0
Kernel Methods on Approximate Infinite-Dimensional Covariance Operators for Image Classification—0
On Expected Accuracy—0
On Expert Estimation in Hierarchical Mixture of Experts: Beyond Softmax Gating Functions—0
Kernel Methods in Hyperbolic Spaces—0
Kernelized Support Tensor Train Machines—0
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation—0
On fine-tuning of Autoencoders for Fuzzy rule classifiers—0
Baybayin Character Instance Detection—0
A Multi-Scale Isolation Forest Approach for Real-Time Detection and Filtering of FGSM Adversarial Attacks in Video Streams of Autonomous Vehicles—0
On Generalization and Regularization in Deep Learning—0
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders—0
Kernel Inversed Pyramidal Resizing Network for Efficient Pavement Distress Recognition—0
Deep Neural Networks Fused with Textures for Image Classification—0
Kernel Extreme Learning Machine Optimized by the Sparrow Search Algorithm for Hyperspectral Image Classification—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