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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7751–7800 of 10420 papers

TitleStatusHype
Hyperspectral Image Classification of Convolutional Neural Network Combined with Valuable Samples—0
GP-NAS: Gaussian Process Based Neural Architecture Search—0
Frequency Domain Compact 3D Convolutional Neural Networks—0
Fixed-Point Back-Propagation Training—0
Integrating global spatial features in CNN based Hyperspectral/SAR imagery classification—0
Towards Context-Agnostic Learning Using Synthetic DataCode0
A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection—0
Overview: Computer vision and machine learning for microstructural characterization and analysis—0
Tensor decomposition to Compress Convolutional Layers in Deep LearningCode0
Fuzziness-based Spatial-Spectral Class Discriminant Information Preserving Active Learning for Hyperspectral Image ClassificationCode0
Explaining Neural Networks by Decoding Layer ActivationsCode0
Evolutionary NAS with Gene Expression Programming of Cellular EncodingCode0
Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing FlowsCode0
An Iteratively Optimized Patch Label Inference Network for Automatic Pavement Distress DetectionCode0
Balanced joint maximum mean discrepancy for deep transfer learningCode0
Accelerating Neural Network Inference by Overflow Aware Quantization—0
Generative Adversarial Networks for Bitcoin Data Augmentation—0
An interpretable automated detection system for FISH-based HER2 oncogene amplification testing in histo-pathological routine images of breast and gastric cancer diagnosticsCode0
Adaptive Adversarial Logits Pairing—0
Networks with pixels embedding: a method to improve noise resistance in images classificationCode0
Peri-Net-Pro: The neural processes with quantified uncertainty for crack patterns—0
One of these (Few) Things is Not Like the Others—0
SODA: Detecting Covid-19 in Chest X-rays with Semi-supervised Open Set Domain Adaptation—0
HyperSTAR: Task-Aware Hyperparameters for Deep Networks—0
Conditionally Deep Hybrid Neural Networks Across Edge and Cloud—0
Perceptual Hashing applied to Tor domains recognition—0
Reducing Overlearning through Disentangled Representations by Suppressing Unknown TasksCode0
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural NetworksCode0
Cross-filter compression for CNN inference acceleration—0
Translating Video Recordings of Mobile App Usages into Replayable Scenarios—0
Neural Networks for Fashion Image Classification and Visual SearchCode0
Hyperspectral Image Classification Based on Sparse Modeling of Spectral Blocks—0
Universal Adversarial Perturbations: A Survey—0
Ventral-Dorsal Neural Networks: Object Detection via Selective Attention—0
Initializing Perturbations in Multiple Directions for Fast Adversarial Training—0
Evolved Explainable Classifications for Lymph Node Metastases—0
On Using Transfer Learning For Plant Disease Detection—0
Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks—0
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural NetworkCode0
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing—0
Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients—0
A New Deep Neural Architecture Search Pipeline for Face Recognition—0
Robustness Verification for Classifier Ensembles—0
Train and Deploy an Image Classifier for Disaster Response—0
Quantitative Analysis of Image Classification Techniques for Memory-Constrained Devices—0
Medical Image Segmentation Using a U-Net type of Architecture—0
Efficient Privacy Preserving Edge Computing Framework for Image Classification—0
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification—0
RUHSNet: 3D Object Detection Using Lidar Data in Real TimeCode0
Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations—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