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 451500 of 10419 papers

TitleStatusHype
Convolutional Channel-wise Competitive Learning for the Forward-Forward AlgorithmCode1
Convolutional Sequence to Sequence LearningCode1
Convolutional Xformers for VisionCode1
Convolution-enhanced Evolving Attention NetworksCode1
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy LabelsCode1
Adversarial Example Detection for DNN Models: A Review and Experimental ComparisonCode1
Counterfactual Generative NetworksCode1
Counterfactual Visual ExplanationsCode1
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN ExecutionCode1
Adversarial Examples in Deep Learning for Multivariate Time Series RegressionCode1
A Comprehensive Survey on Graph Neural NetworksCode1
TransCenter: Transformers with Dense Representations for Multiple-Object TrackingCode1
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object NavigationCode1
Cross-Iteration Batch NormalizationCode1
FocusNet: Classifying Better by Focusing on Confusing ClassesCode1
Cross-modulated Few-shot Image Generation for Colorectal Tissue ClassificationCode1
CSPNet: A New Backbone that can Enhance Learning Capability of CNNCode1
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual RepresentationsCode1
CLIP-guided Federated Learning on Heterogeneous and Long-Tailed DataCode1
Adversarially-Trained Deep Nets Transfer Better: Illustration on Image ClassificationCode1
AIDeveloper: deep learning image classification in life science and beyondCode1
CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image CollectionsCode1
CycleMLP: A MLP-like Architecture for Dense PredictionCode1
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution LayersCode1
A Conservative Approach for Unbiased Learning on Unknown BiasesCode1
CLIP4IDC: CLIP for Image Difference CaptioningCode1
AASAE: Augmentation-Augmented Stochastic AutoencodersCode1
Danish Fungi 2020 -- Not Just Another Image Recognition DatasetCode1
CoCa: Contrastive Captioners are Image-Text Foundation ModelsCode1
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path AggregationCode1
Class-Incremental Grouping Network for Continual Audio-Visual LearningCode1
DATA: Domain-Aware and Task-Aware Self-supervised LearningCode1
Data Feedback Loops: Model-driven Amplification of Dataset BiasesCode1
DataMUX: Data Multiplexing for Neural NetworksCode1
Optimized spiking neurons classify images with high accuracy through temporal coding with two spikesCode1
CLCC: Contrastive Learning for Color ConstancyCode1
DCT-CryptoNets: Scaling Private Inference in the Frequency DomainCode1
DEAL: Deep Evidential Active Learning for Image ClassificationCode1
Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image RecognitionCode1
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic AugmentationCode1
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural NetworksCode1
Decoupled Weight Decay RegularizationCode1
Deep AutoAugmentCode1
3D Human Pose Estimation with Spatial and Temporal TransformersCode1
Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image ClassificationCode1
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot LearningCode1
Class Distance Weighted Cross-Entropy Loss for Ulcerative Colitis Severity EstimationCode1
A Fast 3D CNN for Hyperspectral Image ClassificationCode1
Deep Fried ConvnetsCode1
CLCNet: Rethinking of Ensemble Modeling with Classification Confidence NetworkCode1
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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