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 601625 of 10419 papers

TitleStatusHype
DATA: Domain-Aware and Task-Aware Self-supervised LearningCode1
Data Feedback Loops: Model-driven Amplification of Dataset BiasesCode1
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and LanguageCode1
Achieving Fairness Through Channel Pruning for Dermatological Disease DiagnosisCode1
Data Augmentation with norm-VAE for Unsupervised Domain AdaptationCode1
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution EnvironmentsCode1
Danish Fungi 2020 -- Not Just Another Image Recognition DatasetCode1
DARTS: Differentiable Architecture SearchCode1
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)Code1
DataMUX: Data Multiplexing for Neural NetworksCode1
DAF:re: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character RecognitionCode1
A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classificationCode1
Asymmetric Polynomial Loss For Multi-Label ClassificationCode1
AdaptiveMix: Improving GAN Training via Feature Space ShrinkageCode1
AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecksCode1
CvT: Introducing Convolutions to Vision TransformersCode1
Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image ClassificationCode1
CycleMLP: A MLP-like Architecture for Dense PredictionCode1
Curriculum Temperature for Knowledge DistillationCode1
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised LearningCode1
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesCode1
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution LayersCode1
DAM: Dynamic Adapter Merging for Continual Video QA LearningCode1
Dataset Condensation with Contrastive SignalsCode1
CSPNet: A New Backbone that can Enhance Learning Capability of CNNCode1
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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