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 10201–10225 of 10420 papers

TitleStatusHype
Sparse Convolutional Neural Networks—0
Sparse Projections for High-Dimensional Binary Codes—0
Tree Quantization for Large-Scale Similarity Search and Classification—0
CURL: Co-trained Unsupervised Representation Learning for Image Classification—0
Efficient Large Scale Video Classification—0
Multi-scale recognition with DAG-CNNs—0
High Performance Offline Handwritten Chinese Character Recognition Using GoogLeNet and Directional Feature MapsCode0
Improving Image Classification with Location Context—0
APAC: Augmented PAttern Classification with Neural Networks—0
Automatic Script Identification in the Wild—0
Empirical Evaluation of Rectified Activations in Convolutional NetworkCode0
ReNet: A Recurrent Neural Network Based Alternative to Convolutional NetworksCode0
Patch-based Convolutional Neural Network for Whole Slide Tissue Image ClassificationCode0
Robust hyperspectral image classification with rejection fields—0
Bilinear CNNs for Fine-grained Visual RecognitionCode0
Linear Spatial Pyramid Matching Using Non-convex and non-negative Sparse Coding for Image Classification—0
Object Detection Networks on Convolutional Feature Maps—0
Deep Spatial Pyramid: The Devil is Once Again in the Details—0
Exploiting Local Features from Deep Networks for Image Retrieval—0
Deep convolutional networks for pancreas segmentation in CT imaging—0
Anatomy-specific classification of medical images using deep convolutional nets—0
HEp-2 Cell Image Classification with Deep Convolutional Neural Networks—0
Quantum image classification using principal component analysis—0
Label-Embedding for Image ClassificationCode0
Gibbs Sampling with Low-Power Spiking Digital Neurons—0
Show:102550
← PrevPage 409 of 417Next →
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