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 7451–7500 of 10420 papers

TitleStatusHype
An Algorithm for Out-Of-Distribution Attack to Neural Network EncoderCode0
Deep Collective Learning: Learning Optimal Inputs and Weights Jointly in Deep Neural Networks—0
Unsupervised Image Classification Through Time-Multiplexed Photonic Multi-Layer Spiking Convolutional Neural Network—0
Eating Habits Discovery in Egocentric Photo-streams—0
Feature Fusion via Multiresolution Compressive Measurement Matrix Analysis For Spectral Image ClassificationCode0
Classifying the Equation of State from Rotating Core Collapse Gravitational Waves with Deep Learning—0
Ensemble learning of diffractive optical networks—0
ResNet-like Architecture with Low Hardware RequirementsCode0
Constrained Labeling for Weakly Supervised LearningCode0
One-bit Supervision for Image ClassificationCode0
Adaptive Convolution Kernel for Artificial Neural NetworksCode0
PolSAR Image Classification Based on Robust Low-Rank Feature Extraction and Markov Random Field—0
Margin-Based Regularization and Selective Sampling in Deep Neural Networks—0
Semi-supervised dictionary learning with graph regularization and active pointsCode0
An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks—0
Learning Shape Features and Abstractions in 3D Convolutional Neural Networks for Detecting Alzheimer's Disease—0
Prune Responsibly—0
QuantNet: Learning to Quantize by Learning within Fully Differentiable Framework—0
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
TanhSoft -- a family of activation functions combining Tanh and Softplus—0
Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning—0
Black Box to White Box: Discover Model Characteristics Based on Strategic Probing—0
How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks—0
PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks—0
An Efficient Technique for Image Captioning using Deep Neural Network—0
S-SGD: Symmetrical Stochastic Gradient Descent with Weight Noise Injection for Reaching Flat Minima—0
Data Augmentation for Electrocardiogram Classification with Deep Neural Network—0
Explanation of Unintended Radiated Emission Classification via LIME—0
ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution—0
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
Extreme Memorization via Scale of InitializationCode0
Deep Learning Techniques for Geospatial Data Analysis—0
The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image ClassificationCode0
Background Splitting: Finding Rare Classes in a Sea of BackgroundCode0
Webly Supervised Image Classification with Self-Contained ConfidenceCode0
Synthetic Sample Selection via Reinforcement Learning—0
Visual Concept Reasoning Networks—0
A Survey on Evolutionary Neural Architecture Search—0
Explainable Disease Classification via weakly-supervised segmentation—0
Classification of Noncoding RNA Elements Using Deep Convolutional Neural Networks—0
Learning Kernel for Conditional Moment-Matching Discrepancy-based Image Classification—0
Few-Shot Image Classification via Contrastive Self-Supervised Learning—0
Emergent symbolic language based deep medical image classificationCode0
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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