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

Showing 18011850 of 10419 papers

TitleStatusHype
Anytime Continual Learning for Open Vocabulary ClassificationCode1
Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android AppsCode1
Adversarial Continual LearningCode1
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive ProcessesCode1
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance LearningCode1
GOLD-NAS: Gradual, One-Level, DifferentiableCode1
Combining GANs and AutoEncoders for Efficient Anomaly DetectionCode1
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone DecompositionsCode1
Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning DynamicsCode1
Combating noisy labels by agreement: A joint training method with co-regularizationCode1
Optimized spiking neurons classify images with high accuracy through temporal coding with two spikesCode1
Faster Meta Update Strategy for Noise-Robust Deep LearningCode1
A Partially Reversible U-Net for Memory-Efficient Volumetric Image SegmentationCode1
Faster hyperspectral image classification based on selective kernel mechanism using deep convolutional networksCode1
Active Domain Adaptation via Clustering Uncertainty-weighted EmbeddingsCode1
Class-Incremental Grouping Network for Continual Audio-Visual LearningCode1
Fast Hierarchical Games for Image ExplanationsCode1
Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text AttacksCode1
Saliency-Regularized Deep Multi-Task LearningCode1
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary CellsCode1
FAST: Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel RepresentationCode1
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANNCode1
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture SearchCode1
FCCNs: Fully Complex-valued Convolutional Networks using Complex-valued Color Model and Loss FunctionCode1
Combining Human Predictions with Model Probabilities via Confusion Matrices and CalibrationCode1
Scalable Penalized Regression for Noise Detection in Learning with Noisy LabelsCode1
Go Wider Instead of DeeperCode1
FC-KAN: Function Combinations in Kolmogorov-Arnold NetworksCode1
FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning NetworkCode1
Scaling Graph Convolutions for Mobile VisionCode1
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group PropagationCode1
GlobalMamba: Global Image Serialization for Vision MambaCode1
A Fuzzy Rank-based Ensemble of CNN Models for Classification of Cervical CytologyCode1
Feature Guided Masked Autoencoder for Self-supervised Learning in Remote SensingCode1
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance?Code1
FedBABU: Towards Enhanced Representation for Federated Image ClassificationCode1
CLCC: Contrastive Learning for Color ConstancyCode1
CLCNet: Rethinking of Ensemble Modeling with Classification Confidence NetworkCode1
Federated Learning via Input-Output Collaborative DistillationCode1
Clean-Label Backdoor Attacks on Video Recognition ModelsCode1
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label NoiseCode1
Schema Inference for Interpretable Image ClassificationCode1
Adversarial Examples in Deep Learning for Multivariate Time Series RegressionCode1
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image ClassificationCode1
A fuzzy distance-based ensemble of deep models for cervical cancer detectionCode1
CLIP4IDC: CLIP for Image Difference CaptioningCode1
A Comprehensive Survey on Graph Neural NetworksCode1
Global Filter Networks for Image ClassificationCode1
FedMLP: Federated Multi-Label Medical Image Classification under Task HeterogeneityCode1
Going Deeper with ConvolutionsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified