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 6776–6800 of 10420 papers

TitleStatusHype
Nested-TNT: Hierarchical Vision Transformers with Multi-Scale Feature Processing—0
Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual Cortex—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
NetScore: Towards Universal Metrics for Large-scale Performance Analysis of Deep Neural Networks for Practical On-Device Edge Usage—0
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning—0
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness—0
Generalized Boosting—0
Network Augmentation for Tiny Deep Learning—0
Effects of Auxiliary Knowledge on Continual Learning—0
Network of Experts for Large-Scale Image Categorization—0
Generalized BackPropagation, Étude De Cas: Orthogonality—0
Generalized Adaptive Dictionary Learning via Domain Shift Minimization—0
Contrastive Learning of Visual-Semantic Embeddings—0
NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data—0
Neural Architecture Adaptation for Object Detection by Searching Channel Dimensions and Mapping Pre-trained Parameters—0
Neural Architecture Design and Robustness: A Dataset—0
A Survey of the Recent Architectures of Deep Convolutional Neural Networks—0
Neural architecture impact on identifying temporally extended Reinforcement Learning tasks—0
Neural Architecture Search by Learning a Hierarchical Search Space—0
Neural Architecture Search for Deep Face Recognition—0
Generalization to translation shifts: a study in architectures and augmentations—0
Generalization Error Analysis of Neural networks with Gradient Based Regularization—0
Generalization Bounds for Convolutional Neural Networks—0
Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency—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