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 90269050 of 10420 papers

TitleStatusHype
Comparing supervised learning dynamics: Deep neural networks match human data efficiency but show a generalisation lagCode0
Immiscible Color Flows in Optimal Transport Networks for Image ClassificationCode0
Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical DiagnosisCode0
Distilling Image Dehazing With Heterogeneous Task ImitationCode0
Patch-based Convolutional Neural Network for Whole Slide Tissue Image ClassificationCode0
A Stochastic Proximal Polyak Step SizeCode0
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical BayesCode0
CKD: Contrastive Knowledge Distillation from A Sample-wise PerspectiveCode0
Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine LearningCode0
CINIC-10 is not ImageNet or CIFAR-10Code0
More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed RoutingCode0
PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image ClassificationCode0
Associative TransformerCode0
Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image ClassificationCode0
Impact of ImageNet Model Selection on Domain AdaptationCode0
Associative Alignment for Few-shot Image ClassificationCode0
CIFAR-10 Image Classification Using Feature EnsemblesCode0
ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG IdentificationCode0
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural NetworksCode0
MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation LearningCode0
Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed EnvironmentsCode0
CHIP: Channel-wise Disentangled Interpretation of Deep Convolutional Neural NetworksCode0
Assisted Perception: Optimizing Observations to Communicate StateCode0
Radon cumulative distribution transform subspace modeling for image classificationCode0
Assessing The Impact of CNN Auto Encoder-Based Image Denoising on Image Classification TasksCode0
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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
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified