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 7001–7050 of 10420 papers

TitleStatusHype
Semi-supervised dictionary learning with graph regularization and active pointsCode0
An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks—0
Prune Responsibly—0
Learning Shape Features and Abstractions in 3D Convolutional Neural Networks for Detecting Alzheimer's Disease—0
QuantNet: Learning to Quantize by Learning within Fully Differentiable Framework—0
Understanding the Role of Individual Units in a Deep Neural NetworkCode1
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification—0
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective—0
Region Comparison Network for Interpretable Few-shot Image ClassificationCode1
TanhSoft -- a family of activation functions combining Tanh and Softplus—0
Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning—0
How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks—0
Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset ShiftsCode1
Black Box to White Box: Discover Model Characteristics Based on Strategic Probing—0
PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks—0
Data Augmentation for Electrocardiogram Classification with Deep Neural Network—0
S-SGD: Symmetrical Stochastic Gradient Descent with Weight Noise Injection for Reaching Flat Minima—0
An Efficient Technique for Image Captioning using Deep Neural Network—0
Explanation of Unintended Radiated Emission Classification via LIME—0
ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution—0
S3NAS: Fast NPU-aware Neural Architecture Search MethodologyCode1
Improving Self-Organizing Maps with Unsupervised Feature ExtractionCode1
Imbalanced Image Classification with Complement Cross EntropyCode1
Multimodal brain tumor classification—0
GTAdam: Gradient Tracking with Adaptive Momentum for Distributed Online Optimization—0
Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images—0
Estimating the Brittleness of AI: Safety Integrity Levels and the Need for Testing Out-Of-Distribution Performance—0
Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction—0
Yet Meta Learning Can Adapt Fast, It Can Also Break Easily—0
Active Deep Densely Connected Convolutional Network for Hyperspectral Image Classification—0
A Framework For Contrastive Self-Supervised Learning And Designing A New ApproachCode4
Extreme Memorization via Scale of InitializationCode0
Deep Learning Techniques for Geospatial Data Analysis—0
Background Splitting: Finding Rare Classes in a Sea of BackgroundCode0
The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image ClassificationCode0
Webly Supervised Image Classification with Self-Contained ConfidenceCode0
Visual Concept Reasoning Networks—0
Synthetic Sample Selection via Reinforcement Learning—0
Protect, Show, Attend and Tell: Empowering Image Captioning Models with Ownership ProtectionCode1
A Survey on Evolutionary Neural Architecture Search—0
Explainable Disease Classification via weakly-supervised segmentation—0
Learning Kernel for Conditional Moment-Matching Discrepancy-based Image Classification—0
Self-Supervised Learning for Large-Scale Unsupervised Image ClusteringCode1
Classification of Noncoding RNA Elements Using Deep Convolutional Neural Networks—0
Few-Shot Image Classification via Contrastive Self-Supervised Learning—0
Emergent symbolic language based deep medical image classificationCode0
One Weight Bitwidth to Rule Them All—0
Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory—0
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema AssessmentCode1
Robustness and Overfitting Behavior of Implicit Background ModelsCode0
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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