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 2901–2925 of 10420 papers

TitleStatusHype
Exploring Structural Nonlinearity in Binary Polariton-Based Neuromorphic Architectures—0
Mutual-energy inner product optimization method for constructing feature coordinates and image classification in Machine Learning—0
AI-Compass: A Comprehensive and Effective Multi-module Testing Tool for AI Systems—0
FisherMask: Enhancing Neural Network Labeling Efficiency in Image Classification Using Fisher InformationCode0
GCI-ViTAL: Gradual Confidence Improvement with Vision Transformers for Active Learning on Label Noise—0
Visual-TCAV: Concept-based Attribution and Saliency Maps for Post-hoc Explainability in Image ClassificationCode0
Saliency Assisted Quantization for Neural Networks—0
Zero-Shot Temporal Resolution Domain Adaptation for Spiking Neural Networks—0
Is network fragmentation a useful complexity measure?—0
Neural Fingerprints for Adversarial Attack DetectionCode0
Attention Masks Help Adversarial Attacks to Bypass Safety DetectorsCode0
Overcoming label shift in targeted federated learning—0
Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization—0
Multimodal Structure-Aware Quantum Data ProcessingCode0
Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-supervised Medical Image Classification—0
Domain Expansion and Boundary Growth for Open-Set Single-Source Domain Generalization—0
TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives—0
FUSECAPS: Investigating Feature Fusion Based Framework for Capsule Endoscopy Image Classification—0
Exploiting Contextual Uncertainty of Visual Data for Efficient Training of Deep Models—0
Undermining Image and Text Classification Algorithms Using Adversarial Attacks—0
ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis—0
Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision—0
Optimizing Gastrointestinal Diagnostics: A CNN-Based Model for VCE Image Classification—0
Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty MeasurementCode0
MIC: Medical Image Classification Using Chest X-ray (COVID-19 and Pneumonia) Dataset with the Help of CNN and Customized CNN—0
Show:102550
← PrevPage 117 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
10RevCol-HTop 1 Accuracy90—Unverified