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 6926–6950 of 10420 papers

TitleStatusHype
Nutrispace: A novel color space to enhance deep learning based early detection of cucurbits nutritional deficiency—0
On the Local Cache Update Rules in Streaming Federated Learning—0
Object-Centric Representation Learning from Unlabeled Videos—0
On the rate of convergence of image classifiers based on convolutional neural networks—0
Object-centric Sampling for Fine-grained Image Classification—0
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks—0
Object Detection on Single Monocular Images through Canonical Correlation Analysis—0
Objective Evaluation-based High-efficiency Learning Framework for Hyperspectral Image Classification—0
Object-Level Representation Learning for Few-Shot Image Classification—0
On the Validity of Bayesian Neural Networks for Uncertainty Estimation—0
CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models—0
Object-oriented backdoor attack against image captioning—0
Efficient, probabilistic analysis of combinatorial neural codes—0
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification—0
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting—0
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints—0
Continuous-Time Meta-Learning with Forward Mode Differentiation—0
Fuzzy Rank-based Late Fusion Technique for Cytology image Segmentation—0
A Supervised Segmentation Network for Hyperspectral Image Classification—0
A General Upper Bound for Unsupervised Domain Adaptation—0
Occupancy Detection in Vehicles Using Fisher Vector Image Representation—0
On the Impact of Data Quality on Image Classification Fairness—0
OCFormer: One-Class Transformer Network for Image Classification—0
OCR, Classification & Machine Translation (OCCAM)—0
Fuzzy Pooling—0
Show:102550
← PrevPage 278 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