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

Showing 27512775 of 10420 papers

TitleStatusHype
Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments0
Deep Learning-Driven Approach for Handwritten Chinese Character Classification0
Adversarial Attacks and Defences for Skin Cancer Classification0
Channel Pruning via Multi-Criteria based on Weight Dependency0
A Novel BGCapsule Network for Text Classification0
Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection0
Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture0
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans0
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks0
Chain of Thought Prompt Tuning in Vision Language Models0
A Novel Approach using CapsNet and Deep Belief Network for Detection and Identification of Oral Leukopenia0
Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection0
Efficient Neural Network Training via Subset Pretraining0
Efficient Scale-Permuted Backbone with Learned Resource Distribution0
ELA: Efficient Local Attention for Deep Convolutional Neural Networks0
Adversarial Attack Against Images Classification based on Generative Adversarial Networks0
A Novel Approach to Breast Cancer Histopathological Image Classification Using Cross-Colour Space Feature Fusion and Quantum-Classical Stack Ensemble Method0
Cervical Cancer Detection Using Multi-Branch Deep Learning Model0
Efficient multivariate sequence classification0
Certified robustness against physically-realizable patch attack via randomized cropping0
Certified robustness against adversarial patch attacks via randomized cropping0
A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators0
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation0
A Novel ANN Structure for Image Recognition0
Adversarial Attack across Datasets0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified