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 6701–6750 of 10420 papers

TitleStatusHype
StackMix: A complementary Mix algorithm—0
torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation—0
Contrastive Representation Learning for Whole Brain Cytoarchitectonic Mapping in Histological Human Brain Sections—0
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification ProblemsCode1
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling CurvesCode0
A New Periocular Dataset Collected by Mobile Devices in Unconstrained Scenarios—0
Mixture-based Feature Space Learning for Few-shot Image ClassificationCode1
Benchmarking Inference Performance of Deep Learning Models on Analog Devices—0
Towards Imperceptible Universal Attacks on Texture Recognition—0
Adam^+: A Stochastic Method with Adaptive Variance Reduction—0
KeepAugment: A Simple Information-Preserving Data Augmentation ApproachCode1
Uncovering the Bias in Facial Expressions—0
Exploring Alternatives to Softmax FunctionCode0
Better Aggregation in Test-Time Augmentation—0
Cancer image classification based on DenseNet model—0
Unsupervised Difficulty Estimation with Action Scores—0
Dense open-set recognition with synthetic outliers generated by Real NVPCode0
Learning Class Unique Features in Fine-Grained Visual Classification—0
Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing SystemsCode1
An Effective Anti-Aliasing Approach for Residual Networks—0
Large Scale Neural Architecture Search with Polyharmonic Splines—0
Error-Bounded Correction of Noisy LabelsCode1
DeepRepair: Style-Guided Repairing for DNNs in the Real-world Operational Environment—0
Geography-Aware Self-Supervised LearningCode1
Positive-Congruent Training: Towards Regression-Free Model Updates—0
On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective—0
Dense Contrastive Learning for Self-Supervised Visual Pre-TrainingCode1
A Multi-class Approach -- Building a Visual Classifier based on Textual Descriptions using Zero-Shot Learning—0
Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification—0
MGIC: Multigrid-in-Channels Neural Network ArchitecturesCode0
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive LearningCode1
Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response—0
Use HiResCAM instead of Grad-CAM for faithful explanations of convolutional neural networksCode0
A Simple Framework to Quantify Different Types of Uncertainty in Deep Neural Networks for Image Classification—0
Combining GANs and AutoEncoders for Efficient Anomaly DetectionCode1
Ensemble of Models Trained by Key-based Transformed Images for Adversarially Robust Defense Against Black-box Attacks—0
Redesigning the classification layer by randomizing the class representation vectors—0
SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images—0
Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks—0
Coresets for Robust Training of Neural Networks against Noisy Labels—0
Pneumothorax and chest tube classification on chest x-rays for detection of missed pneumothorax—0
Texture image classification based on a pseudo-parabolic diffusion model—0
TDAsweep: A Novel Dimensionality Reduction Method for Image Classification Tasks—0
In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories—0
Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations—0
Multi-layered tensor networks for image classificationCode0
Metastatic Cancer Image Classification Based On Deep Learning Method—0
One Explanation is Not Enough: Structured Attention Graphs for Image ClassificationCode1
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges—0
Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study—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
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