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 6751–6775 of 10420 papers

TitleStatusHype
Contrastively Enforcing Distinctiveness for Multi-Label Classification—0
A Survey on Assessing the Generalization Envelope of Deep Neural Networks: Predictive Uncertainty, Out-of-distribution and Adversarial Samples—0
Naturalizing Neuromorphic Vision Event Streams Using GANs—0
Generalized Coverage for More Robust Low-Budget Active Learning—0
NDPNet: A novel non-linear data projection network for few-shot fine-grained image classification—0
Nearest Neighbor Based Out-of-Distribution Detection in Remote Sensing Scene Classification—0
Generalized Correspondence Matching via Flexible Hierarchical Refinement and Patch Descriptor Distillation—0
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training—0
Near-Optimal Glimpse Sequences for Training Hard Attention Neural Networks—0
Effective Features of Remote Sensing Image Classification Using Interactive Adaptive Thresholding Method—0
Near Real-time Hippocampus Segmentation Using Patch-based Canonical Neural Network—0
Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation—0
Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition—0
Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual Cortex—0
Effective Mutation Rate Adaptation through Group Elite Selection—0
Negative Log Likelihood Ratio Loss for Deep Neural Network Classification—0
Towards a Robust Deep Neural Network in Texts: A Survey—0
Aggregated Learning: A Deep Learning Framework Based on Information-Bottleneck Vector Quantization—0
Neighbor Class Consistency on Unsupervised Domain Adaptation—0
OCT Data is All You Need: How Vision Transformers with and without Pre-training Benefit Imaging—0
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness—0
Neighborhood Watch: Representation Learning with Local-Margin Triplet Loss and Sampling Strategy for K-Nearest-Neighbor Image Classification—0
Neonatal Pain Expression Recognition Using Transfer Learning—0
NephroNet: A Novel Program for Identifying Renal Cell Carcinoma and Generating Synthetic Training Images with Convolutional Neural Networks and Diffusion Models—0
Generalized Boosting—0
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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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified