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 9501–9550 of 10420 papers

TitleStatusHype
Predicting Natural Hazards with Neuronal Networks—0
Discriminative Label Consistent Domain Adaptation—0
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image SegmentationCode0
Unsupervised Band Selection of Hyperspectral Images via Multi-dictionary Sparse Representation—0
Weighted Linear Discriminant Analysis based on Class Saliency Information—0
Structured Label Inference for Visual UnderstandingCode0
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNetCode0
CapsuleGAN: Generative Adversarial Capsule NetworkCode0
ASP:A Fast Adversarial Attack Example Generation Framework based on Adversarial Saliency Prediction—0
Deep Predictive Coding Network for Object Recognition—0
DCFNet: Deep Neural Network with Decomposed Convolutional FiltersCode0
Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification—0
Combinets: Creativity via Recombination of Neural Networks—0
Deep Visual Domain Adaptation: A Survey—0
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches—0
Generating Triples with Adversarial Networks for Scene Graph Construction—0
Regularized Evolution for Image Classifier Architecture SearchCode0
A Method for Restoring the Training Set Distribution in an Image Classifier—0
Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification—0
Deep Convolutional Neural Networks for Breast Cancer Histology Image AnalysisCode0
Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations—0
Alternating Multi-bit Quantization for Recurrent Neural Networks—0
Training Neural Networks by Using Power Linear Units (PoLUs)Code0
Cross-domain CNN for Hyperspectral Image Classification—0
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural NetworksCode0
ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG IdentificationCode0
Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural NetworksCode0
Certified Defenses against Adversarial ExamplesCode0
Deep Reinforcement Learning using Capsules in Advanced Game Environments—0
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional NetworksCode0
Understanding Deep Architectures by Visual SummariesCode0
What Does a TextCNN Learn?—0
A Foreground Inference Network for Video Surveillance Using Multi-View Receptive Field—0
Deep Learning: An Introduction for Applied MathematiciansCode0
Identification of Seed Cells in Multispectral Images for GrowCut Segmentation—0
Localization-Aware Active Learning for Object Detection—0
Rank Selection of CP-decomposed Convolutional Layers with Variational Bayesian Matrix Factorization—0
Semi-supervised Fisher vector network—0
Comparative Study on Generative Adversarial Networks—0
A Hardware-Friendly Algorithm for Scalable Training and Deployment of Dimensionality Reduction Models on FPGA—0
Data Augmentation by Pairing Samples for Images Classification—0
Deep Supervision with Intermediate Concepts—0
Nonparametric Stochastic Contextual Bandits—0
Enhanced Image Classification With Data Augmentation Using Position Coordinates—0
DENSER: Deep Evolutionary Network Structured RepresentationCode0
Implementation of Deep Convolutional Neural Network in Multi-class Categorical Image Classification—0
Matrix capsules with EM routingCode0
Continuous Convolutional Neural Networks for Image Classification—0
From Information Bottleneck To Activation Norm Penalty—0
AMLA: an AutoML frAmework for Neural Network Design—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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 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