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 7001–7050 of 10420 papers

TitleStatusHype
A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation—0
Adaptive Binary-Ternary Quantization—0
One-Shot Neural Architecture Search with Network Similarity Directed Initialization for Pathological Image Classification—0
One-Shot Online Testing of Deep Neural Networks Based on Distribution Shift Detection—0
Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection—0
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers—0
ASU-CNN: An Efficient Deep Architecture for Image Classification and Feature Visualizations—0
Fusion of Foundation and Vision Transformer Model Features for Dermatoscopic Image Classification—0
On Evaluating the Adversarial Robustness of Semantic Segmentation Models—0
One-Vote Veto: Semi-Supervised Learning for Low-Shot Glaucoma Diagnosis—0
One Weight Bitwidth to Rule Them All—0
A study on the Interpretability of Neural Retrieval Models using DeepSHAP—0
On Expected Accuracy—0
On Expert Estimation in Hierarchical Mixture of Experts: Beyond Softmax Gating Functions—0
Fusion of evidential CNN classifiers for image classification—0
Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour—0
Optimizing Breast Cancer Detection in Mammograms: A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi-View Classification—0
On fine-tuning of Autoencoders for Fuzzy rule classifiers—0
On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective—0
EmbRace: Accelerating Sparse Communication for Distributed Training of NLP Neural Networks—0
On Generalization and Regularization in Deep Learning—0
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation—0
Fusion of Convolutional Neural Network and Statistical Features for Texture classification—0
Continual Learning with Pretrained Backbones by Tuning in the Input Space—0
Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation—0
On Learning the Structure of Clusters in Graphs—0
On Leave-One-Out Conditional Mutual Information For Generalization—0
Online Algorithms for Hierarchical Inference in Deep Learning applications at the Edge—0
Fusion framework and multimodality for the Laplacian approximation of Bayesian neural networks—0
Continual Learning with Dependency Preserving Hypernetworks—0
Optimized Tradeoffs for Private Prediction with Majority Ensembling—0
An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks—0
Optimizing Estimators of Squared Calibration Errors in Classification—0
Fusing Deep Convolutional Networks for Large Scale Visual Concept Classification—0
Online Continual Learning Via Candidates Voting—0
To Store or Not? Online Data Selection for Federated Learning with Limited Storage—0
Online Descriptor Enhancement via Self-Labelling Triplets for Visual Data Association—0
Online Feature Selection with Group Structure Analysis—0
Online Knowledge Distillation via Multi-branch Diversity Enhancement—0
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks—0
Online Learning in The Manifold of Low-Rank Matrices—0
Online Learning to Sample—0
FUSECAPS: Investigating Feature Fusion Based Framework for Capsule Endoscopy Image Classification—0
Online Representation Learning with Single and Multi-layer Hebbian Networks for Image Classification—0
Online Sensor Hallucination via Knowledge Distillation for Multimodal Image Classification—0
FUNN: Flexible Unsupervised Neural Network—0
The Effects of Spectral Dimensionality Reduction on Hyperspectral Pixel Classification: A Case Study—0
Automatic Design of CNNs via Differentiable Neural Architecture Search for PolSAR Image Classification—0
Fundamental Limits of Transfer Learning in Binary Classifications—0
Function-Space Variational Inference for Deep Bayesian Classification—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