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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5151–5175 of 10420 papers

TitleStatusHype
Histograms of Pattern Sets for Image Classification and Object Recognition—0
Crowdsourcing with Meta-Workers: A New Way to Save the Budget—0
Deep Convolutional Spiking Neural Networks for Image Classification—0
Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study—0
Crowd-Powered Data Mining—0
HistoFS: Non-IID Histopathologic Whole Slide Image Classification via Federated Style Transfer with RoI-Preserving—0
Cross-View-Prediction: Exploring Contrastive Feature for Hyperspectral Image Classification—0
Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning—0
Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation—0
Kolmogorov-Arnold networks for metal surface defect classification—0
Hippocampus Temporal Lobe Epilepsy Detection using a Combination of Shape-based Features and Spherical Harmonics Representation—0
HindSight: A Graph-Based Vision Model Architecture For Representing Part-Whole Hierarchies—0
Improving Object Detection with Selective Self-supervised Self-training—0
Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning—0
Improving Performance of Semi-Supervised Learning by Adversarial Attacks—0
Improving plant disease classification by adaptive minimal ensembling—0
Accelerating Gossip SGD with Periodic Global Averaging—0
Hilbert Sinkhorn Divergence for Optimal Transport—0
Improving Quaternion Neural Networks with Quaternionic Activation Functions—0
Deep Degradation Prior for Low-Quality Image Classification—0
Improving Resnet-9 Generalization Trained on Small Datasets—0
Hilbert Curve Based Molecular Sequence Analysis—0
Robust Contrastive Active Learning with Feature-guided Query Strategies—0
Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles—0
Knowledge Graph Embeddings for Multi-Lingual Structured Representations of Radiology Reports—0
Show:102550
← PrevPage 207 of 417Next →
All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified