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 9526–9550 of 10420 papers

TitleStatusHype
Heterogeneous Federated Learning Using Knowledge Codistillation—0
Heterogeneous Generative Knowledge Distillation with Masked Image Modeling—0
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine—0
HFSP: A Hardware-friendly Soft Pruning Framework for Vision Transformers—0
Hidden Classification Layers: Enhancing linear separability between classes in neural networks layers—0
Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It—0
Hierarchical Adaptive Structural SVM for Domain Adaptation—0
Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images—0
Hierarchical Expert Networks for Meta-Learning—0
Hierarchical Gaussian Descriptor for Person Re-Identification—0
Hierarchical Gaussian Descriptors with Application to Person Re-Identification—0
Hierarchical Image Classification with A Literally Toy Dataset—0
Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning—0
Hierarchical Representation based Query-Specific Prototypical Network for Few-Shot Image Classification—0
Hierarchical ResNeXt Models for Breast Cancer Histology Image Classification—0
Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification—0
Hierarchical Side-Tuning for Vision Transformers—0
Hierarchical Sparse Attention Framework for Computationally Efficient Classification of Biological Cells—0
Hierarchical Transfer Convolutional Neural Networks for Image Classification—0
Hierarchical Vision Transformer with Prototypes for Interpretable Medical Image Classification—0
Exploring Optimal Deep Learning Models for Image-based Malware Variant Classification—0
Image and Point-cloud Classification for Jet Analysis in High-Energy Physics: A survey—0
Higher Order Transformers: Efficient Attention Mechanism for Tensor Structured Data—0
High Frequency Residual Learning for Multi-Scale Image Classification—0
HIGHLY EFFICIENT 8-BIT LOW PRECISION INFERENCE OF CONVOLUTIONAL NEURAL NETWORKS—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
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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified