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 19011925 of 10420 papers

TitleStatusHype
InceptionCapsule: Inception-Resnet and CapsuleNet with self-attention for medical image Classification0
Deep Continuous NetworksCode0
Faster Inference of Integer SWIN Transformer by Removing the GELU Activation0
Direct side information learning for zero-shot regressionCode0
Segment Any Change0
CADICA: a new dataset for coronary artery disease detection by using invasive coronary angiography0
Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics0
A Single Graph Convolution Is All You Need: Efficient Grayscale Image ClassificationCode1
Dendritic Learning-incorporated Vision Transformer for Image RecognitionCode1
Dataset Condensation Driven Machine UnlearningCode0
HyperZZW Operator Connects Slow-Fast Networks for Full Context InteractionCode0
Towards Image Semantics and Syntax Sequence LearningCode0
Towards Physical Plausibility in Neuroevolution SystemsCode0
Deep Learning-Driven Approach for Handwritten Chinese Character Classification0
Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in Multi-Label Image Classification with Partial LabelsCode1
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs0
Selection of gamma events from IACT images with deep learning methods0
SHViT: Single-Head Vision Transformer with Memory Efficient Macro DesignCode2
Few and Fewer: Learning Better from Few Examples Using Fewer Base ClassesCode0
Generating Multi-Center Classifier via Conditional Gaussian DistributionCode0
Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy0
MixMobileNet: A Mixed Mobile Network for Edge Vision Applications0
Memory-Inspired Temporal Prompt Interaction for Text-Image Classification0
Additional Look into GAN-based Augmentation for Deep Learning COVID-19 Image Classification0
Exploring the Unexplored: Understanding the Impact of Layer Adjustments on Image Classification0
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 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