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

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Showing 4351–4375 of 10420 papers

TitleStatusHype
An Effective Fusion Method to Enhance the Robustness of CNN—0
Contrastive Centroid Supervision Alleviates Domain Shift in Medical Image Classification—0
A fast dynamic graph convolutional network and CNN parallel network for hyperspectral image classification—0
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasksCode0
Abnormal Signal Recognition with Time-Frequency Spectrogram: A Deep Learning Approach—0
Exploring the Open World Using Incremental Extreme Value MachinesCode0
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance?Code1
Pooling Revisited: Your Receptive Field is Suboptimal—0
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification—0
Revisiting the Importance of Amplifying Bias for DebiasingCode1
Mixture GAN For Modulation Classification Resiliency Against Adversarial Attacks—0
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks—0
EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense PredictionCode4
Contributor-Aware Defenses Against Adversarial Backdoor Attacks—0
A Closer Look at Self-Supervised Lightweight Vision TransformersCode1
Object-wise Masked Autoencoders for Fast Pre-training—0
Data Generation for Satellite Image Classification Using Self-Supervised Representation Learning—0
MDMLP: Image Classification from Scratch on Small Datasets with MLPCode0
WaveMix: A Resource-efficient Neural Network for Image AnalysisCode1
BadDet: Backdoor Attacks on Object DetectionCode0
Towards a Design Framework for TNN-Based Neuromorphic Sensory Processing Units—0
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning—0
Failure Detection in Medical Image Classification: A Reality Check and Benchmarking TestbedCode1
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNNCode4
X-ViT: High Performance Linear Vision Transformer without Softmax—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