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 9451–9475 of 10420 papers

TitleStatusHype
A Method for Restoring the Training Set Distribution in an Image Classifier—0
Regularized Evolution for Image Classifier Architecture SearchCode0
Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification—0
Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations—0
Deep Convolutional Neural Networks for Breast Cancer Histology Image AnalysisCode0
Alternating Multi-bit Quantization for Recurrent Neural Networks—0
Training Neural Networks by Using Power Linear Units (PoLUs)Code0
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural NetworksCode0
Cross-domain CNN for Hyperspectral Image Classification—0
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
Deep Reinforcement Learning using Capsules in Advanced Game Environments—0
Certified Defenses against Adversarial ExamplesCode0
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
Identification of Seed Cells in Multispectral Images for GrowCut Segmentation—0
Deep Learning: An Introduction for Applied MathematiciansCode0
Rank Selection of CP-decomposed Convolutional Layers with Variational Bayesian Matrix Factorization—0
Localization-Aware Active Learning for Object Detection—0
Semi-supervised Fisher vector network—0
MobileNetV2: Inverted Residuals and Linear BottlenecksCode1
Comparative Study on Generative Adversarial Networks—0
A Hardware-Friendly Algorithm for Scalable Training and Deployment of Dimensionality Reduction Models on FPGA—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