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

Showing 26112620 of 10420 papers

TitleStatusHype
T-Fusion Net: A Novel Deep Neural Network Augmented with Multiple Localizations based Spatial Attention Mechanisms for Covid-19 Detection0
Hybrid quantum transfer learning for crack image classification on NISQ hardware0
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature SpaceCode0
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image ClassificationCode1
Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification0
Cross-dimensional transfer learning in medical image segmentation with deep learningCode0
Task-Oriented Channel Attention for Fine-Grained Few-Shot ClassificationCode1
Few-shot Image Classification based on Gradual Machine Learning0
Cross-Modal Concept Learning and Inference for Vision-Language Models0
Quantum-limited stochastic optical neural networks operating at a few quanta per activationCode1
Show:102550
← PrevPage 262 of 1042Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified