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 8001–8025 of 10420 papers

TitleStatusHype
Image-Based Feature Representation for Insider Threat Classification—0
Momentum Contrast for Unsupervised Visual Representation LearningCode3
Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation—0
Cost-efficient segmentation of electron microscopy images using active learning—0
Pose Guided Attention for Multi-label Fashion Image Classification—0
Throughput Prediction of Asynchronous SGD in TensorFlow—0
Learning From Brains How to Regularize MachinesCode0
A Computing Kernel for Network Binarization on PyTorchCode0
Self-training with Noisy Student improves ImageNet classificationCode1
An empirical study of the relation between network architecture and complexity—0
Meta Label Correction for Noisy Label LearningCode0
IrisNet: Deep Learning for Automatic and Real-time Tongue Contour Tracking in Ultrasound Video Data using Peripheral Vision—0
Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection—0
On the design of convolutional neural networks for automatic detection of Alzheimer's diseaseCode0
Improving Machine Reading Comprehension via Adversarial Training—0
On the Relationship between Self-Attention and Convolutional LayersCode0
Knowledge Distillation for Incremental Learning in Semantic Segmentation—0
Efficacy of Pixel-Level OOD Detection for Semantic Segmentation—0
Hyperspectral Image Classification via Sparse Representation With Incremental DictionariesCode0
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color DistanceCode0
A Programmable Approach to Neural Network CompressionCode0
Coverage Guided Testing for Recurrent Neural Networks—0
A Spectral Nonlocal Block for Neural Networks—0
An Algorithm for Routing Capsules in All Domains—0
Self-Adaptive Scaling for Learnable Residual Structure—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