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 9226–9250 of 10420 papers

TitleStatusHype
Robust training of recurrent neural networks to handle missing data for disease progression modeling—0
predictSLUMS: A new model for identifying and predicting informal settlements and slums in cities from street intersections using machine learning—0
Buildings Detection in VHR SAR Images Using Fully Convolution Neural Networks—0
Fast, Better Training Trick --- Random Gradient—0
RedSync : Reducing Synchronization Traffic for Distributed Deep Learning—0
Text Classification using Capsules—0
MARVIN: An Open Machine Learning Corpus and Environment for Automated Machine Learning Primitive Annotation and Execution—0
Classifier-Guided Visual Correction of Noisy Labels for Image Classification TasksCode0
Multi-Label Zero-Shot Learning with Transfer-Aware Label Embedding Projection—0
Importance of the Mathematical Foundations of Machine Learning Methods for Scientific and Engineering Applications—0
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning—0
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification ModelsCode0
Designing Adaptive Neural Networks for Energy-Constrained Image Classification—0
Traits & Transferability of Adversarial Examples against Instance Segmentation & Object Detection—0
CurriculumNet: Weakly Supervised Learning from Large-Scale Web ImagesCode0
GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware—0
The Quest for the Golden Activation Function—0
Efficient Progressive Neural Architecture Search—0
Binarized Convolutional Neural Networks for Efficient Inference on GPUs—0
Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured DataCode0
Improving Transferability of Deep Neural Networks—0
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning—0
Extreme Network Compression via Filter Group Approximation—0
Comparator Networks—0
Recurrently Exploring Class-wise Attention in A Hybrid Convolutional and Bidirectional LSTM Network for Multi-label Aerial Image Classification—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