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 5651–5675 of 10420 papers

TitleStatusHype
Mixture GAN For Modulation Classification Resiliency Against Adversarial Attacks—0
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks—0
Object-wise Masked Autoencoders for Fast Pre-training—0
BadDet: Backdoor Attacks on Object DetectionCode0
MDMLP: Image Classification from Scratch on Small Datasets with MLPCode0
Data Generation for Satellite Image Classification Using Self-Supervised Representation Learning—0
Contributor-Aware Defenses Against Adversarial Backdoor Attacks—0
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning—0
Towards a Design Framework for TNN-Based Neuromorphic Sensory Processing Units—0
X-ViT: High Performance Linear Vision Transformer without Softmax—0
TransBoost: Improving the Best ImageNet Performance using Deep TransductionCode0
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition—0
CA-UDA: Class-Aware Unsupervised Domain Adaptation with Optimal Assignment and Pseudo-Label Refinement—0
BagFlip: A Certified Defense against Data PoisoningCode0
A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer—0
An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning SystemsCode0
A CNN with Noise Inclined Module and Denoise Framework for Hyperspectral Image ClassificationCode0
Concurrent Neural Tree and Data Preprocessing AutoML for Image Classification—0
An interpretation of the final fully connected layer—0
DPSNN: A Differentially Private Spiking Neural Network with Temporal Enhanced Pooling—0
Deep Learning-based automated classification of Chinese Speech Sound Disorders—0
Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments—0
Privacy-Preserving Image Classification Using Vision Transformer—0
Discriminative Feature Learning through Feature Distance LossCode0
Accurate and Resource-Efficient Lipreading with Efficientnetv2 and Transformers—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