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 8426–8450 of 10420 papers

TitleStatusHype
Deep multi-prototype capsule networks—0
Deep multi-survey classification of variable stars—0
Deep Multi-Task Learning for Malware Image Classification—0
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers—0
Deep Multi-view Models for Glitch Classification—0
Deep Networks with Fast Retraining—0
Deep Neural Network Approximation Theory—0
Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation—0
Deep neural network loses attention to adversarial images—0
Deep Neural Network Models Trained With A Fixed Random Classifier Transfer Better Across Domains—0
Deep Neural Networks—0
Deep Neural Networks and PIDE discretizations—0
Deep Neural Networks Based Weight Approximation and Computation Reuse for 2-D Image Classification—0
Deep Neural Networks for Marine Debris Detection in Sonar Images—0
Deep Neural Networks for Object Detection—0
Deep Neural Networks for Pattern Recognition—0
Deep Neural Networks Fused with Textures for Image Classification—0
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation—0
Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification—0
DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework—0
Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense—0
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones—0
Deep Octonion Networks—0
Deep Poisoning: Towards Robust Image Data Sharing against Visual Disclosure—0
Deep Predictive Coding Network for Object Recognition—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