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 5626–5650 of 10420 papers

TitleStatusHype
YOLOv5s-GTB: light-weighted and improved YOLOv5s for bridge crack detection—0
Learning rich optical embeddings for privacy-preserving lensless image classification—0
Supernet Training for Federated Image Classification under System HeterogeneityCode0
Prefix Conditioning Unifies Language and Label Supervision—0
VL-BEiT: Generative Vision-Language Pretraining—0
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron—0
Leveraging Systematic Knowledge of 2D Transformations—0
Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic DataCode0
Star algorithm for NN ensemblingCode0
Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime—0
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection—0
Dataset Distillation using Neural Feature RegressionCode0
Multilingual Image Corpus – Towards a Multimodal and Multilingual Dataset—0
Transformer with Fourier Integral Attentions—0
An Effective Fusion Method to Enhance the Robustness of CNN—0
Deep learning pipeline for image classification on mobile phones—0
Asynchronous Hierarchical Federated Learning—0
Contrastive Centroid Supervision Alleviates Domain Shift in Medical Image Classification—0
FHIST: A Benchmark for Few-shot Classification of Histological Images—0
A fast dynamic graph convolutional network and CNN parallel network for hyperspectral image classification—0
Exploring the Open World Using Incremental Extreme Value MachinesCode0
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification—0
Pooling Revisited: Your Receptive Field is Suboptimal—0
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasksCode0
Abnormal Signal Recognition with Time-Frequency Spectrogram: A Deep Learning Approach—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