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 69516975 of 10420 papers

TitleStatusHype
Where Does the Robustness Come from? A Study of the Transformation-based Ensemble Defence0
Generating Realistic COVID19 X-rays with a Mean Teacher + Transfer Learning GAN0
High Definition image classification in Geoscience using Machine LearningCode0
HetSeq: Distributed GPU Training on Heterogeneous InfrastructureCode1
Locally orderless tensor networks for classifying two- and three-dimensional medical imagesCode0
A Unified Plug-and-Play Framework for Effective Data Denoising and Robust Abstention0
Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision0
From Pixel to Patch: Synthesize Context-aware Features for Zero-shot Semantic SegmentationCode1
Adversarial Examples in Deep Learning for Multivariate Time Series RegressionCode1
PK-GCN: Prior Knowledge Assisted Image Classification using Graph Convolution Networks0
Secure Data Sharing With Flow ModelCode0
Compressive spectral image classification using 3D coded convolutional neural network0
Schizophrenia-mimicking layers outperform conventional neural network layersCode0
Pruning Convolutional Filters using Batch Bridgeout0
Integration of Roadside Camera Images and Weather Data for Monitoring Winter Road Surface Conditions0
Multiscale Context-Aware Ensemble Deep KELM for Efficient Hyperspectral Image ClassificationCode1
Using Neural Architecture Search for Improving Software Flaw Detection in Multimodal Deep Learning Models0
Dynamic Fusion based Federated Learning for COVID-19 Detection0
Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification0
The DongNiao International Birds 10000 Dataset0
Adaptive Meta-Learning for Identification of Rover-Terrain DynamicsCode0
Stereopagnosia: Fooling Stereo Networks with Adversarial PerturbationsCode1
Multi-Modal Reasoning Graph for Scene-Text Based Fine-Grained Image Classification and RetrievalCode1
Visual-Semantic Embedding Model Informed by Structured Knowledge0
Learning Soft Labels via Meta Learning0
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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