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 4801–4850 of 10420 papers

TitleStatusHype
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning—0
A Simple and Generic Framework for Feature Distillation via Channel-wise Transformation—0
Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning—0
Exploring the Benefits of Visual Prompting in Differential PrivacyCode0
LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation—0
SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings—0
Deployment of Image Analysis Algorithms under Prevalence ShiftsCode0
Machine Learning for Brain Disorders: Transformers and Visual Transformers—0
Boundary Unlearning—0
ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked AutoencodersCode0
Parameter-Free Channel Attention for Image Classification and Super-Resolution—0
Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification—0
Bias mitigation techniques in image classification: fair machine learning in human heritage collections—0
Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond—0
Extracting the Brain-like Representation by an Improved Self-Organizing Map for Image ClassificationCode0
Unsupervised domain adaptation by learning using privileged information—0
Conditional Synthetic Food Image Generation—0
Agnostic Multi-Robust Learning Using ERM—0
Knowledge Distillation from Single to Multi Labels: an Empirical StudyCode0
Visual Prompt Based Personalized Federated Learning—0
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks—0
A Contrastive Knowledge Transfer Framework for Model Compression and Transfer LearningCode0
Is forgetting less a good inductive bias for forward transfer?—0
SMUG: Towards robust MRI reconstruction by smoothed unrollingCode0
Context Normalization Layer with Applications—0
Adversarial Attacks to Direct Data-driven Control for Destabilization—0
A Test Statistic Estimation-based Approach for Establishing Self-interpretable CNN-based Binary Classifiers—0
Bag of Tricks with Quantized Convolutional Neural Networks for image classification—0
The challenge of representation learning: Improved accuracy in deep vision models does not come with better predictions of perceptual similarity—0
On Model Compression for Neural Networks: Framework, Algorithm, and Convergence GuaranteeCode0
Endoscopy Classification Model Using Swin Transformer and Saliency Map—0
Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems—0
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning—0
Uncertainty quantification in neural network classifiers -- a local linear approach—0
Variational Quantum Neural Networks (VQNNS) in Image Classification—0
Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning—0
AnoMalNet: Outlier Detection based Malaria Cell Image Classification Method Leveraging Deep Autoencoder—0
Distributionally Robust Optimization with Probabilistic GroupCode0
Optimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial Labels—0
TAKT: Target-Aware Knowledge Transfer for Whole Slide Image ClassificationCode0
NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging—0
HyT-NAS: Hybrid Transformers Neural Architecture Search for Edge Devices—0
Robustness-preserving Lifelong Learning via Dataset Condensation—0
Hybrid quantum-classical convolutional neural network for phytoplankton classification—0
Towards Composable Distributions of Latent Space Augmentations—0
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network—0
Demystifying What Code Summarization Models Learned—0
Graph-based Representation for Image based on Granular-ball—0
Fine-Grained ImageNet Classification in the WildCode0
Spatio-Temporal Structure Consistency for Semi-supervised Medical Image 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