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 7076–7100 of 10420 papers

TitleStatusHype
On the Effectiveness of Deep Ensembles for Small Data Tasks—0
Keep Your AI-es on the Road: Tackling Distracted Driver Detection with Convolutional Neural Networks and Targeted Data Augmentation—0
Deep Neural Networks Based Weight Approximation and Computation Reuse for 2-D Image Classification—0
On the Effectiveness of Regularization Against Membership Inference Attacks—0
On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification—0
Keep Learning: Self-supervised Meta-learning for Learning from Inference—0
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition—0
Deep Neural Networks and PIDE discretizations—0
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel—0
Keeping Representation Similarity in Finetuning for Medical Image Analysis—0
Deep Neural Networks—0
KCRC-LCD: Discriminative Kernel Collaborative Representation with Locality Constrained Dictionary for Visual Categorization—0
Deep Neural Network Models Trained With A Fixed Random Classifier Transfer Better Across Domains—0
A Multiresolution Clinical Decision Support System Based on Fractal Model Design for Classification of Histological Brain Tumours—0
Adaptive Mixture of Low-Rank Factorizations for Compact Neural Modeling—0
KANs for Computer Vision: An Experimental Study—0
Deep neural network loses attention to adversarial images—0
KAN-Mixers: a new deep learning architecture for image classification—0
An Optimization and Generalization Analysis for Max-Pooling Networks—0
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches—0
On the Initial Behavior Monitoring Issues in Federated Learning—0
Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation—0
Batch Group Normalization—0
Just rotate it! Uncertainty estimation in closed-source models via multiple queries—0
Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation—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