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

Showing 70767100 of 10420 papers

TitleStatusHype
More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery ClassificationCode1
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network0
An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural NetworksCode0
Feature Space Augmentation for Long-Tailed Data0
Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text AttacksCode1
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks0
Comparative study of variational quantum circuit and quantum backpropagation multilayer perceptron for COVID-19 outbreak predictions0
Learning CNN filters from user-drawn image markers for coconut-tree image classification0
HASeparator: Hyperplane-Assisted Softmax0
An Aggregate Method for Thorax Diseases ClassificationCode0
Image Transformation Network for Privacy-Preserving Deep Neural Networks and Its Security Evaluation0
MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models0
Diagnosis of Autism in Children using Facial Analysis and Deep Learning0
Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia0
Graph Convolutional Networks for Hyperspectral Image ClassificationCode1
Structured Convolutions for Efficient Neural Network Design0
Assisted Perception: Optimizing Observations to Communicate StateCode0
Evaluating the performance of the LIME and Grad-CAM explanation methods on a LEGO multi-label image classification task0
A non-discriminatory approach to ethical deep learning0
Memory Efficient Class-Incremental Learning for Image Classification0
Hyperspectral Image Classification with Spatial Consistence Using Fully Convolutional Spatial Propagation Network0
AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification0
Shape Adaptor: A Learnable Resizing ModuleCode1
ResNet50_on_Cifar_100_Without_Transfer_LearningCode1
Blackbox Trojanising of Deep Learning Models : Using non-intrusive network structure and binary alterations0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified