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 5951–6000 of 10420 papers

TitleStatusHype
Multimodal Adversarial Defense for Vision-Language Models by Leveraging One-To-Many Relationships—0
Diagnosis of Autism in Children using Facial Analysis and Deep Learning—0
Leveraging Internal Representations of Model for Magnetic Image Classification—0
Light Lies: Optical Adversarial Attack—0
Diagnosis of Alzheimer's Disease via Multi-modality 3D Convolutional Neural Network—0
Leveraging Foundation Models for Efficient Federated Learning in Resource-restricted Edge Networks—0
Leveraging feature communication in federated learning for remote sensing image classification—0
Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches—0
BI-MAML: Balanced Incremental Approach for Meta Learning—0
An Automatic Image Content Retrieval Method for better Mobile Device Display User Experiences—0
AdderSR: Towards Energy Efficient Image Super-Resolution—0
Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification—0
Linear Context Transform Block—0
Linearised Laplace Inference in Networks with Normalisation Layers and the Neural g-Prior—0
Leveraging Deep Learning and Xception Architecture for High-Accuracy MRI Classification in Alzheimer Diagnosis—0
Linear Spatial Pyramid Matching Using Non-convex and non-negative Sparse Coding for Image Classification—0
Leveraging counterfactual concepts for debugging and improving CNN model performance—0
Linking ImageNet WordNet Synsets with Wikidata—0
Diagnosing Convolutional Neural Networks using their Spectral Response—0
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations—0
Leveraging Conditional Mutual Information to Improve Large Language Model Fine-Tuning For Classification—0
Leveraging Computer Vision Application in Visual Arts: A Case Study on the Use of Residual Neural Network to Classify and Analyze Baroque Paintings—0
Leveraging CNNs and Ensemble Learning for Automated Disaster Image Classification—0
LiteDenseNet: A Lightweight Network for Hyperspectral Image Classification—0
An Automated Deep Learning Approach for Bacterial Image Classification—0
Leveraging Chat-Based Large Vision Language Models for Multimodal Out-Of-Context Detection—0
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations—0
Diabetic retinopathy image classification method based on GreenBen data augmentation—0
Let's Go Shopping (LGS) -- Web-Scale Image-Text Dataset for Visual Concept Understanding—0
Let's Focus: Focused Backdoor Attack against Federated Transfer Learning—0
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation—0
An Automated CNN Recommendation System for Image Classification Tasks—0
A Dataset for Troll Classification of TamilMemes—0
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification—0
Less is More: Dimension Reduction Finds On-Manifold Adversarial Examples in Hard-Label Attacks—0
big.LITTLE Vision Transformer for Efficient Visual Recognition—0
Training Data Subset Search with Ensemble Active Learning—0
Less-forgetful Learning for Domain Expansion in Deep Neural Networks—0
Lesion2Vec: Deep Metric Learning for Few-Shot Multiple Lesions Recognition in Wireless Capsule Endoscopy Video—0
AED: An black-box NLP classifier model attacker—0
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations—0
Lensless-camera based machine learning for image classification—0
LeDNet: Localization-enabled Deep Neural Network for Multi-Label Radiography Image Classification—0
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning—0
Learn to Predict Sets Using Feed-Forward Neural Networks—0
Local Descriptors Weighted Adaptive Threshold Filtering For Few-Shot Learning—0
DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification—0
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval—0
An Attention Module for Convolutional Neural Networks—0
A Dataset and Benchmarks for Multimedia Social Analysis—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