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 4401–4450 of 10420 papers

TitleStatusHype
Few-shot 1/a Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance—0
Concept-based explainability for an EEG transformer modelCode0
Maximal Independent Sets for Pooling in Graph Neural Networks—0
An X3D Neural Network Analysis for Runner's Performance Assessment in a Wild Sporting Environment—0
Sparse then Prune: Toward Efficient Vision TransformersCode0
An Intelligent Remote Sensing Image Quality Inspection SystemCode0
Post-variational quantum neural networks—0
Quantized Feature Distillation for Network Quantization—0
Deep learning for classification of noisy QR codes—0
Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition—0
The importance of feature preprocessing for differentially private linear optimization—0
Attacking by Aligning: Clean-Label Backdoor Attacks on Object DetectionCode0
As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier DomainCode0
Confidence Estimation Using Unlabeled DataCode0
Linearized Relative Positional EncodingCode0
R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut—0
Human Action Recognition in Still Images Using ConViT—0
Promoting Exploration in Memory-Augmented Adam using Critical MomentaCode0
PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image ClassificationCode0
Does Visual Pretraining Help End-to-End Reasoning?—0
Airway Label Prediction in Video Bronchoscopy: Capturing Temporal Dependencies Utilizing Anatomical Knowledge—0
Multi-Domain Learning with Modulation Adapters—0
Active Learning for Object Detection with Non-Redundant Informative Sampling—0
Fast Adaptation with Bradley-Terry Preference Models in Text-To-Image Classification and Generation—0
Spatial-Spectral Hyperspectral Classification based on Learnable 3D Group ConvolutionCode0
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout—0
Multi-Dimensional Ability Diagnosis for Machine Learning AlgorithmsCode0
Multiplicative update rules for accelerating deep learning training and increasing robustness—0
Machine learning for option pricing: an empirical investigation of network architectures—0
On the ability of CNNs to extract color invariant intensity based features for image classification—0
DGCNet: An Efficient 3D-Densenet based on Dynamic Group Convolution for Hyperspectral Remote Sensing Image ClassificationCode0
Data Augmentation in Training CNNs: Injecting Noise to Images—0
Learning from Exemplary Explanations—0
Function-Space Regularization for Deep Bayesian Classification—0
The Whole Pathological Slide Classification via Weakly Supervised Learning—0
Feature Activation Map: Visual Explanation of Deep Learning Models for Image Classification—0
Class Instance Balanced Learning for Long-Tailed Classification—0
OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image ClassificationCode0
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification—0
Search-time Efficient Device Constraints-Aware Neural Architecture Search—0
Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification—0
Text Descriptions are Compressive and Invariant Representations for Visual Learning—0
CognitiveNet: Enriching Foundation Models with Emotions and Awareness—0
Class-Incremental Mixture of Gaussians for Deep Continual Learning—0
A Novel Explainable Artificial Intelligence Model in Image Classification problem—0
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models?—0
End-to-End Supervised Multilabel Contrastive LearningCode0
Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and RetrainingCode0
Measuring the Success of Diffusion Models at Imitating Human Artists—0
How to use model architecture and training environment to estimate the energy consumption of DL trainingCode0
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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