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 6901–6925 of 10420 papers

TitleStatusHype
On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets—0
Abnormal Signal Recognition with Time-Frequency Spectrogram: A Deep Learning Approach—0
On the Effectiveness of Regularization Against Membership Inference Attacks—0
On the Effectiveness of Deep Ensembles for Small Data Tasks—0
On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification—0
Gastrointestinal Disorder Detection with a Transformer Based Approach—0
NOSE Augment: Fast and Effective Data Augmentation Without Searching—0
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathological Image Detection—0
Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation—0
Not all Failure Modes are Created Equal: Training Deep Neural Networks for Explicable (Mis)Classification—0
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification—0
A Generative Model For Zero Shot Learning Using Conditional Variational Autoencoders—0
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition—0
Contractive error feedback for gradient compression—0
On the Convergence of Continual Learning with Adaptive Methods—0
Contraction Mapping of Feature Norms for Classifier Learning on the Data with Different Quality—0
Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection—0
Now You See Me: Robust approach to Partial Occlusions—0
NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks—0
A Surrogate-Assisted Highly Cooperative Coevolutionary Algorithm for Hyperparameter Optimization in Deep Convolutional Neural Network—0
On the Convergence of Nonconvex Continual Learning with Adaptive Learning Rate—0
Galaxy Classification Using Transfer Learning and Ensemble of CNNs With Multiple Colour Spaces—0
ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision—0
Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware—0
GAF-NAU: Gramian Angular Field encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image Classification—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