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 3301–3350 of 10419 papers

TitleStatusHype
Improved Online Conformal Prediction via Strongly Adaptive Online LearningCode1
TFormer: A Transmission-Friendly ViT Model for IoT Devices—0
Classification of Lung Pathologies in Neonates using Dual Tree Complex Wavelet Transform—0
Learning from Noisy Labels with Decoupled Meta Label PurifierCode1
Learning with Noisy labels via Self-supervised Adversarial Noisy MaskingCode1
Symbolic Discovery of Optimization AlgorithmsCode0
Simple Hardware-Efficient Long Convolutions for Sequence ModelingCode2
Deep Learning and Medical Imaging for COVID-19 Diagnosis: A Comprehensive Survey—0
A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000—0
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic DataCode0
A Domain Decomposition-Based CNN-DNN Architecture for Model Parallel Training Applied to Image Recognition Problems—0
Semantic Image Segmentation: Two Decades of Research—0
Stitchable Neural NetworksCode2
A Unified View of Long-Sequence Models towards Modeling Million-Scale Dependencies—0
How to Use Dropout Correctly on Residual Networks with Batch NormalizationCode0
Scientific Computing with Diffractive Optical Neural Networks—0
LiT Tuned Models for Efficient Species DetectionCode0
NephroNet: A Novel Program for Identifying Renal Cell Carcinoma and Generating Synthetic Training Images with Convolutional Neural Networks and Diffusion Models—0
The LuViRA Dataset: Synchronized Vision, Radio, and Audio Sensors for Indoor LocalizationCode1
Text recognition on images using pre-trained CNN—0
Context Understanding in Computer Vision: A Survey—0
Scaling Vision Transformers to 22 Billion ParametersCode0
GMConv: Modulating Effective Receptive Fields for Convolutional Kernels—0
Reversible Vision TransformersCode1
On Function-Coupled Watermarks for Deep Neural NetworksCode0
Cross-Layer Retrospective Retrieving via Layer AttentionCode1
Effective Data Augmentation With Diffusion ModelsCode2
Understanding Why ViT Trains Badly on Small Datasets: An Intuitive PerspectiveCode2
On the Ideal Number of Groups for Isometric Gradient Propagation—0
Class-Incremental Learning: A SurveyCode2
Multipath agents for modular multitask ML systems—0
CHiLS: Zero-Shot Image Classification with Hierarchical Label SetsCode1
Rethinking Robust Contrastive Learning from the Adversarial PerspectiveCode0
CECT: Controllable Ensemble CNN and Transformer for COVID-19 Image ClassificationCode0
Revisiting Discriminative vs. Generative Classifiers: Theory and ImplicationsCode1
Knowledge Distillation in Vision Transformers: A Critical Review—0
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification—0
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasksCode1
Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in Image Classification—0
Example-Based Explainable AI and its Application for Remote Sensing Image Classification—0
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers—0
Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks—0
Revisiting Long-tailed Image Classification: Survey and Benchmarks with New Evaluation Metrics—0
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification—0
SAAL: Sharpness-Aware Active LearningCode1
Language Quantized AutoEncoders: Towards Unsupervised Text-Image AlignmentCode1
Hyperspectral Image Classification Using Deep Matrix CapsulesCode1
Continual Learning with Scaled Gradient ProjectionCode1
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting—0
On Suppressing Range of Adaptive Stepsizes of Adam to Improve Generalisation Performance—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