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 7351–7375 of 10420 papers

TitleStatusHype
Practical Insights of Repairing Model Problems on Image Classification—0
Frequency Domain Convolutional Neural Network: Accelerated CNN for Large Diabetic Retinopathy Image Classification—0
Performing Image Classification for 10 Different Monkey Species using CNN—0
Peri-Net-Pro: The neural processes with quantified uncertainty for crack patterns—0
Frequency Domain Compact 3D Convolutional Neural Networks—0
Frequency Disentangled Residual Network—0
Assurance for Deployed Continual Learning Systems—0
The Recognition Of Persian Phonemes Using PPNet—0
Power Optimizations in MTJ-based Neural Networks through Stochastic Computing—0
Frequency-Adaptive Discrete Cosine-ViT-ResNet Architecture for Sparse-Data Vision—0
Personalized Federated Learning with Local Attention—0
Personalized Food Image Classification: Benchmark Datasets and New Baseline—0
FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning—0
Personalized Semantics Excitation for Federated Image Classification—0
Person Re-identification: Past, Present and Future—0
pFedSOP : Accelerating Training Of Personalized Federated Learning Using Second-Order Optimization—0
Contextual Attention Mechanism, SRGAN Based Inpainting System for Eliminating Interruptions from Images—0
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training—0
AGATE: Stealthy Black-box Watermarking for Multimodal Model Copyright Protection—0
Photonic convolutional neural networks using integrated diffractive optics—0
Pyramid Pixel Context Adaption Network for Medical Image Classification with Supervised Contrastive Learning—0
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks—0
Context Normalization Layer with Applications—0
Free Performance Gain from Mixing Multiple Partially Labeled Samples in Multi-label Image Classification—0
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks—0
Show:102550
← PrevPage 295 of 417Next →
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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified