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 5751–5775 of 10420 papers

TitleStatusHype
Distributed stochastic optimization for deep learning (thesis)—0
Boundary Unlearning—0
An Enhancement of CNN Algorithm for Rice Leaf Disease Image Classification in Mobile Applications—0
A Deep Learning Architectures for Kidney Disease Classification—0
GTAdam: Gradient Tracking with Adaptive Momentum for Distributed Online Optimization—0
Distributed Federated Learning-Based Deep Learning Model for Privacy MRI Brain Tumor Detection—0
Distributed Deep Learning Using Volunteer Computing-Like Paradigm—0
Distortion Robust Image Classification using Deep Convolutional Neural Network with Discrete Cosine Transform—0
Distilling Spikes: Knowledge Distillation in Spiking Neural Networks—0
An Enhanced Randomly Initialized Convolutional Neural Network for Columnar Cactus Recognition in Unmanned Aerial Vehicle Imagery—0
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation—0
An Energy-Efficient Reconfigurable Autoencoder Implementation on FPGA—0
Distilling Knowledge into Quantum Vision Transformers for Biomedical Image Classification—0
Distilling High Diagnostic Value Patches for Whole Slide Image Classification Using Attention Mechanism—0
Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification—0
An End-to-End Breast Tumour Classification Model Using Context-Based Patch Modelling- A BiLSTM Approach for Image Classification—0
A Deep Convolutional Neural Network Applied to Ship Detection and Classification—0
A CNN With Multi-scale Convolution for Hyperspectral Image Classification using Target-Pixel-Orientation scheme—0
Boosting Video Captioning with Dynamic Loss Network—0
An Encryption Method of ConvMixer Models without Performance Degradation—0
Distillation from heterogeneous unlabeled collections—0
StableMamba: Distillation-free Scaling of Large SSMs for Images and Videos—0
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification—0
A Deep Bayesian Convolutional Spiking Neural Network-based CAD system with Uncertainty Quantification for Medical Images Classification—0
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications—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
10RevCol-HTop 1 Accuracy90—Unverified