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 526–550 of 10419 papers

TitleStatusHype
Comparison of Neural Models for X-ray Image Classification in COVID-19 Detection—0
Discrete Wavelet Transform-Based Capsule Network for Hyperspectral Image Classification—0
Planarian Neural Networks: Evolutionary Patterns from Basic Bilateria Shaping Modern Artificial Neural Network Architectures—0
Temporal Feature Weaving for Neonatal Echocardiographic Viewpoint Video ClassificationCode0
MedFocusCLIP : Improving few shot classification in medical datasets using pixel wise attention—0
Dolphin: Closed-loop Open-ended Auto-research through Thinking, Practice, and Feedback—0
FTA-FTL: A Fine-Tuned Aggregation Federated Transfer Learning Scheme for Lithology Microscopic Image ClassificationCode0
Plant Leaf Disease Detection and Classification Using Deep Learning: A Review and A Proposed System on Bangladesh's Perspective—0
Deep-Relative-Trust-Based Diffusion for Decentralized Deep Learning—0
FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models—0
Exploring Secure Machine Learning Through Payload Injection and FGSM Attacks on ResNet-50—0
A Separable Self-attention Inspired by the State Space Model for Computer VisionCode0
Google is all you need: Semi-Supervised Transfer Learning Strategy For Light Multimodal Multi-Task Classification Model—0
A Multi-task Supervised Compression Model for Split ComputingCode0
M3amba: Memory Mamba is All You Need for Whole Slide Image Classification—0
Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation—0
Beyond Image Classification: A Video Benchmark and Dual-Branch Hybrid Discrimination Framework for Compositional Zero-Shot Learning—0
Directional Label Diffusion Model for Learning from Noisy LabelsCode0
Multi-modal Vision Pre-training for Medical Image Analysis—0
Towards Universal Dataset Distillation via Task-Driven Diffusion—0
Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning—0
Saliuitl: Ensemble Salience Guided Recovery of Adversarial Patches against CNNsCode0
HistoFS: Non-IID Histopathologic Whole Slide Image Classification via Federated Style Transfer with RoI-Preserving—0
LoKi: Low-dimensional KAN for Efficient Fine-tuning Image Models—0
Training-free Neural Architecture Search through Variance of Knowledge of Deep Network Weights—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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified