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 3451–3475 of 10420 papers

TitleStatusHype
Building Vision Transformers with Hierarchy Aware Feature Aggregation—0
Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification—0
DIME-FM : DIstilling Multimodal and Efficient Foundation Models—0
Growing a Brain with Sparsity-Inducing Generation for Continual LearningCode0
XiNet: Efficient Neural Networks for tinyML—0
LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer NormalizationCode1
Scene-Aware Label Graph Learning for Multi-Label Image Classification—0
Tiny Updater: Towards Efficient Neural Network-Driven Software UpdatingCode0
Adaptive Image Anonymization in the Context of Image Classification with Neural Networks—0
Adaptive and Background-Aware Vision Transformer for Real-Time UAV TrackingCode1
Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation—0
Automated Knowledge Distillation via Monte Carlo Tree SearchCode0
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse RetrievalCode1
FCCNs: Fully Complex-valued Convolutional Networks using Complex-valued Color Model and Loss FunctionCode1
Self-supervised Pre-training for Mirror Detection—0
Rethinking Fast Fourier Convolution in Image Inpainting—0
Vision HGNN: An Image is More than a Graph of NodesCode1
RA-CLIP: Retrieval Augmented Contrastive Language-Image Pre-Training—0
Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis—0
A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet CategoriesCode0
Bias-Eliminating Augmentation Learning for Debiased Federated Learning—0
PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image ClassificationCode1
Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN ModelsCode0
Deep Factorized Metric LearningCode1
ViewNet: A Novel Projection-Based Backbone With View Pooling for Few-Shot Point Cloud ClassificationCode1
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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