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 4351–4375 of 10420 papers

TitleStatusHype
A Multi-modal Approach to Single-modal Visual Place Classification—0
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments—0
Deep Metric Learning and Image Classification with Nearest Neighbour Gaussian Kernels—0
Banana Sub-Family Classification and Quality Prediction using Computer Vision—0
Hyperparameter Optimization and Boosting for Classifying Facial Expressions: How good can a "Null" Model be?—0
Hyperspectral classification of blood-like substances using machine learning methods combined with genetic algorithms in transductive and inductive scenarios—0
Hyperspectral Image Classification Based on Adaptive Sparse Deep Network—0
Balancing the Causal Effects in Class-Incremental Learning—0
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network—0
Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability—0
Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification—0
A Multi-class Approach -- Building a Visual Classifier based on Textual Descriptions using Zero-Shot Learning—0
HyperKon: A Self-Supervised Contrastive Network for Hyperspectral Image Analysis—0
Deeply Coupled Auto-encoder Networks for Cross-view Classification—0
Less is more: Selecting informative and diverse subsets with balancing constraints—0
Balancing Average and Worst-case Accuracy in Multitask Learning—0
DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer—0
A multicategory jet image classification framework using deep neural network—0
Hypergraph Vision Transformers: Images are More than Nodes, More than Edges—0
HyperNetworks with statistical filtering for defending adversarial examples—0
HyperCam: Low-Power Onboard Computer Vision for IoT Cameras—0
Hyperbolic Geometry in Computer Vision: A Survey—0
Hyper-Class Augmented and Regularized Deep Learning for Fine-Grained Image Classification—0
CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer—0
CNNs for JPEGs: A Study in Computational Cost—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
10RevCol-HTop 1 Accuracy90—Unverified