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 4876–4900 of 10420 papers

TitleStatusHype
Small Sample Hyperspectral Image Classification Based on the Random Patches Network and Recursive FilteringCode0
StudyFormer : Attention-Based and Dynamic Multi View Classifier for X-ray images—0
Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers—0
A Gradient Boosting Approach for Training Convolutional and Deep Neural NetworksCode0
DISCO: Distributed Inference with Sparse Communications—0
Stress and Adaptation: Applying Anna Karenina Principle in Deep Learning for Image Classification—0
Deep Active Learning in the Presence of Label Noise: A Survey—0
Analysis of Real-Time Hostile Activitiy Detection from Spatiotemporal Features Using Time Distributed Deep CNNs, RNNs and Attention-Based Mechanisms—0
CMVAE: Causal Meta VAE for Unsupervised Meta-LearningCode0
Domain-Specific Pre-training Improves Confidence in Whole Slide Image ClassificationCode0
Model-based feature selection for neural networks: A mixed-integer programming approach—0
mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization—0
Deep Selector-JPEG: Adaptive JPEG Image Compression for Computer Vision in Image classification with Human Vision Criteria—0
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space—0
Random Padding Data Augmentation—0
GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as A Plug-and-Play Transductive Model for Medical Image Analysis—0
Towards Reliable Assessments of Demographic Disparities in Multi-Label Image Classifiers—0
Fossil Image Identification using Deep Learning Ensembles of Data Augmented MultiviewsCode0
TFormer: A Transmission-Friendly ViT Model for IoT Devices—0
Classification of Lung Pathologies in Neonates using Dual Tree Complex Wavelet Transform—0
A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000—0
A Domain Decomposition-Based CNN-DNN Architecture for Model Parallel Training Applied to Image Recognition Problems—0
Deep Learning and Medical Imaging for COVID-19 Diagnosis: A Comprehensive Survey—0
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic DataCode0
Semantic Image Segmentation: Two Decades of Research—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