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

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Showing 6951–7000 of 10420 papers

TitleStatusHype
Where Does the Robustness Come from? A Study of the Transformation-based Ensemble Defence—0
Generating Realistic COVID19 X-rays with a Mean Teacher + Transfer Learning GAN—0
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 Abstention—0
Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision—0
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 Networks—0
Secure Data Sharing With Flow ModelCode0
Compressive spectral image classification using 3D coded convolutional neural network—0
Schizophrenia-mimicking layers outperform conventional neural network layersCode0
Pruning Convolutional Filters using Batch Bridgeout—0
Integration of Roadside Camera Images and Weather Data for Monitoring Winter Road Surface Conditions—0
Multiscale Context-Aware Ensemble Deep KELM for Efficient Hyperspectral Image ClassificationCode1
Dynamic Fusion based Federated Learning for COVID-19 Detection—0
Using Neural Architecture Search for Improving Software Flaw Detection in Multimodal Deep Learning Models—0
Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification—0
The DongNiao International Birds 10000 Dataset—0
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 Knowledge—0
Learning Soft Labels via Meta Learning—0
Features based Mammogram Image Classification using Weighted Feature Support Vector Machine—0
Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification—0
Adversarial Rain Attack and Defensive Deraining for DNN Perception—0
Hyperspectral Image Classification Method Based on 2D–3D CNN and Multibranch Feature Fusion—0
AdderSR: Towards Energy Efficient Image Super-Resolution—0
Searching for Low-Bit Weights in Quantized Neural NetworksCode1
Generating Efficient DNN-Ensembles with Evolutionary Computation—0
Noisy Concurrent Training for Efficient Learning under Label NoiseCode0
MoPro: Webly Supervised Learning with Momentum PrototypesCode1
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without TricksCode1
An Algorithm for Out-Of-Distribution Attack to Neural Network EncoderCode0
Deep Collective Learning: Learning Optimal Inputs and Weights Jointly in Deep Neural Networks—0
Unsupervised Image Classification Through Time-Multiplexed Photonic Multi-Layer Spiking Convolutional Neural Network—0
Eating Habits Discovery in Egocentric Photo-streams—0
Feature Fusion via Multiresolution Compressive Measurement Matrix Analysis For Spectral Image ClassificationCode0
Classifying the Equation of State from Rotating Core Collapse Gravitational Waves with Deep Learning—0
Constrained Labeling for Weakly Supervised LearningCode0
Ensemble learning of diffractive optical networks—0
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal MixupCode1
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning ProcessesCode1
ResNet-like Architecture with Low Hardware RequirementsCode0
One-bit Supervision for Image ClassificationCode0
Adaptive Convolution Kernel for Artificial Neural NetworksCode0
Semi-supervised dictionary learning with graph regularization and active pointsCode0
Margin-Based Regularization and Selective Sampling in Deep Neural Networks—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