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 5151–5200 of 10420 papers

TitleStatusHype
Label-similarity Curriculum Learning—0
Histopathological Image Classification and Vulnerability Analysis using Federated Learning—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
Histograms of Pattern Sets for Image Classification and Object Recognition—0
Crowdsourcing with Meta-Workers: A New Way to Save the Budget—0
Revisiting the Role of Label Smoothing in Enhanced Text Sentiment Classification—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
LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization—0
Hippocampus Temporal Lobe Epilepsy Detection using a Combination of Shape-based Features and Spherical Harmonics Representation—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
HindSight: A Graph-Based Vision Model Architecture For Representing Part-Whole Hierarchies—0
Deep Decision Network for Multi-Class Image Classification—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
Accelerating Gossip SGD with Periodic Global Averaging—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
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations—0
Deep Discriminative Learning for Unsupervised Domain Adaptation—0
Improving Sample Complexity with Observational Supervision—0
Hilbert Sinkhorn Divergence for Optimal Transport—0
Hilbert Curve Based Molecular Sequence Analysis—0
Auxiliary Learning by Implicit Differentiation—0
Deep Elastic Networks with Model Selection for Multi-Task Learning—0
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context—0
Label Geometry Aware Discriminator for Conditional Generative Networks—0
Improving Strong-Scaling of CNN Training by Exploiting Finer-Grained Parallelism—0
High Quality Remote Sensing Image Super-Resolution Using Deep Memory Connected Network—0
Improving the Accuracy of Learning Example Weights for Imbalance Classification—0
Improving the accuracy of neural networks in analog computing-in-memory systems by a generalized quantization method—0
Label-Embedding for Attribute-Based Classification—0
Improving the Deployment of Recycling Classification through Efficient Hyper-Parameter Analysis—0
Improving the Effectiveness of Deep Generative Data—0
Cross Pixel Optical Flow Similarity for Self-Supervised Learning—0
Adaptive Data Augmentation with Deep Parallel Generative Models—0
Improving the Reliability for Confidence Estimation—0
A Machine-Synesthetic Approach To DDoS Network Attack Detection—0
Label Embedding with Partial Heterogeneous Contexts—0
Label-noise-tolerant medical image classification via self-attention and self-supervised learning—0
Improving training of deep neural networks via Singular Value Bounding—0
A Study on Transformer Configuration and Training Objective—0
Laconic Deep Learning Computing—0
High Performance Hyperspectral Image Classification using Graphics Processing Units—0
Show:102550
← PrevPage 104 of 209Next →
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