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 2751–2800 of 10419 papers

TitleStatusHype
A Novel Deep ML Architecture by Integrating Visual Simultaneous Localization and Mapping (vSLAM) into Mask R-CNN for Real-time Surgical Video Analysis—0
ELA: Efficient Local Attention for Deep Convolutional Neural Networks—0
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain—0
A Novel Deep Learning Architecture for Testis Histology Image Classification—0
Rapid Elastic Architecture Search under Specialized Classes and Resource Constraints—0
Deep Learning-Driven Approach for Handwritten Chinese Character Classification—0
Adversarial Attacks and Defences for Skin Cancer Classification—0
Channel Pruning via Multi-Criteria based on Weight Dependency—0
A Novel BGCapsule Network for Text Classification—0
EG-SpikeFormer: Eye-Gaze Guided Transformer on Spiking Neural Networks for Medical Image Analysis—0
Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture—0
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans—0
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks—0
Chain of Thought Prompt Tuning in Vision Language Models—0
A Novel Approach using CapsNet and Deep Belief Network for Detection and Identification of Oral Leukopenia—0
Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization—0
Adversarial Attack Against Images Classification based on Generative Adversarial Networks—0
A Novel Approach to Breast Cancer Histopathological Image Classification Using Cross-Colour Space Feature Fusion and Quantum-Classical Stack Ensemble Method—0
Efficient Sparse Artificial Neural Networks—0
Cervical Cancer Detection Using Multi-Branch Deep Learning Model—0
Efficient Super Resolution Using Binarized Neural Network—0
Certified robustness against physically-realizable patch attack via randomized cropping—0
Certified robustness against adversarial patch attacks via randomized cropping—0
A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators—0
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation—0
A Novel ANN Structure for Image Recognition—0
Adversarial Attack across Datasets—0
Efficient Transformations in Deep Learning Convolutional Neural Networks—0
A novel adversarial learning strategy for medical image classification—0
Agnostic Multi-Robust Learning Using ERM—0
Adversarial Alignment of Class Prediction Uncertainties for Domain Adaptation—0
Centroid Transformers: Learning to Abstract with Attention—0
Centroid-based deep metric learning for speaker recognition—0
An Out-of-the-box Full-network Embedding for Convolutional Neural Networks—0
On the Implicit Bias Towards Minimal Depth of Deep Neural Networks—0
4Weed Dataset: Annotated Imagery Weeds Dataset—0
CELNet: Evidence Localization for Pathology Images using Weakly Supervised Learning—0
Adversarial Doodles: Interpretable and Human-drawable Attacks Provide Describable Insights—0
A Comparison of Self-Supervised Pretraining Approaches for Predicting Disease Risk from Chest Radiograph Images—0
Efficient Scale-Permuted Backbone with Learned Resource Distribution—0
An OpenCL(TM) Deep Learning Accelerator on Arria 10—0
A Non-Technical Survey on Deep Convolutional Neural Network Architectures—0
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints—0
CE-Dedup: Cost-Effective Convolutional Neural Nets Training based on Image Deduplication—0
A Non-monotonic Smooth Activation Function—0
Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems—0
CEC-CNN: A Consecutive Expansion-Contraction Convolutional Network for Very Small Resolution Medical Image Classification—0
A non-discriminatory approach to ethical deep learning—0
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification—0
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management—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