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 7501–7525 of 10420 papers

TitleStatusHype
Predictive Models from Quantum Computer Benchmarks—0
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach—0
Integrated perception with recurrent multi-task neural networks—0
Deep Learning Based Classification System For Recognizing Local Spinach—0
Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT—0
Institutionally Distributed Deep Learning Networks—0
ParasNet: Fast Parasites Detection with Neural Networks—0
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing—0
Amicable Aid: Perturbing Images to Improve Classification Performance—0
Instant Adversarial Purification with Adversarial Consistency Distillation—0
Deep Learning-based automated classification of Chinese Speech Sound Disorders—0
Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation—0
Deep Learning At Scale and At Ease—0
Backdoor Attack with Mode Mixture Latent Modification—0
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation—0
Pre-Trained Convolutional Neural Network Features for Facial Expression Recognition—0
AMF: Adaptable Weighting Fusion with Multiple Fine-tuning for Image Classification—0
Instance-based Deep Transfer Learning—0
Instance-Aware Group Quantization for Vision Transformers—0
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey—0
Inspect Transfer Learning Architecture with Dilated Convolution—0
Inspector Gadget: A Data Programming-based Labeling System for Industrial Images—0
INsight: A Neuromorphic Computing System for Evaluation of Large Neural Networks—0
InsCon:Instance Consistency Feature Representation via Self-Supervised Learning—0
Deep Learning Applications Based on WISE Infrared Data: Classification of Stars, Galaxies and Quasars—0
Show:102550
← PrevPage 301 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
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