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 14011425 of 10420 papers

TitleStatusHype
Instance Similarity Learning for Unsupervised Feature RepresentationCode1
Curriculum By SmoothingCode1
EVA-CLIP: Improved Training Techniques for CLIP at ScaleCode1
Benchmarking Adversarial Robustness on Image ClassificationCode1
Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness MetricsCode1
Analysis and evaluation of Deep Learning based Super-Resolution algorithms to improve performance in Low-Resolution Face RecognitionCode1
Evaluating the visualization of what a Deep Neural Network has learnedCode1
CycleMLP: A MLP-like Architecture for Dense PredictionCode1
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution LayersCode1
DATA: Domain-Aware and Task-Aware Self-supervised LearningCode1
Evolutionary Neural AutoML for Deep LearningCode1
A Survey of Classical And Quantum Sequence ModelsCode1
Introspective Deep Metric Learning for Image RetrievalCode1
Invariant Information Clustering for Unsupervised Image Classification and SegmentationCode1
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge GraphsCode1
DARTS: Differentiable Architecture SearchCode1
Danish Fungi 2020 -- Not Just Another Image Recognition DatasetCode1
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution EnvironmentsCode1
Bridging the Gap: Multi-Level Cross-Modality Joint Alignment for Visible-Infrared Person Re-IdentificationCode1
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and LanguageCode1
Is normalization indispensable for training deep neural network?Code1
Data Augmentation with norm-VAE for Unsupervised Domain AdaptationCode1
Adaptive Split-Fusion TransformerCode1
Active Learning for Convolutional Neural Networks: A Core-Set ApproachCode1
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image ClassificationCode1
Show:102550
← PrevPage 57 of 417Next →

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