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 6526–6550 of 10420 papers

TitleStatusHype
MTBF-33: A multi-temporal building footprint dataset for 33 counties in the United States (1900-2015)—0
Analysis of Convolutional Neural Networks for Document Image Classification—0
Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans—0
Learning Deep Context-Network Architectures for Image Annotation—0
MUFold-SS: Protein Secondary Structure Prediction Using Deep Inception-Inside-Inception Networks—0
Delay Differential Neural Networks—0
Learning Data Teaching Strategies Via Knowledge Tracing—0
Déjà Vu Memorization in Vision-Language Models—0
Benchmarks for Image Classification and Other High-dimensional Pattern Recognition Problems—0
Benchmarking the Robustness of Semantic Segmentation Models—0
Analysis of convolutional neural network image classifiers in a rotationally symmetric model—0
Learning cross space mapping via DNN using large scale click-through logs—0
Multi-branch fusion network for hyperspectral image classification—0
Learning Cross-domain Generalizable Features by Representation Disentanglement—0
Deformation-Invariant Neural Network and Its Applications in Distorted Image Restoration and Analysis—0
Learning Continually from Low-shot Data Stream—0
Multiclass Burn Wound Image Classification Using Deep Convolutional Neural Networks—0
Learning Contextual Dependencies with Convolutional Hierarchical Recurrent Neural Networks—0
Learning Consistent Deep Generative Models from Sparse Data via Prediction Constraints—0
Learning Consistent Deep Generative Models from Sparsely Labeled Data—0
Deformable Gabor Feature Networks for Biomedical Image Classification—0
Benchmarking Test-Time Unsupervised Deep Neural Network Adaptation on Edge Devices—0
Analysis of convolutional neural network image classifiers in a hierarchical max-pooling model with additional local pooling—0
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks—0
Learning Connectivity of Neural Networks from a Topological Perspective—0
Show:102550
← PrevPage 262 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
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
10RevCol-HTop 1 Accuracy90—Unverified