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 8751–8775 of 10420 papers

TitleStatusHype
Dynamic Group Transformer: A General Vision Transformer Backbone with Dynamic Group Attention—0
Dynamic Inference with Neural Interpreters—0
Dynamic Memory-enhanced Transformer for Hyperspectral Image Classification—0
Dynamic Neural Network Channel Execution for Efficient Training—0
Dynamic Object Comprehension: A Framework For Evaluating Artificial Visual Perception—0
Dynamic Perturbation-Adaptive Adversarial Training on Medical Image Classification—0
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification—0
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities—0
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization—0
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning—0
Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning—0
Dynamic Shuffle: An Efficient Channel Mixture Method—0
Dynamic Spectrum Mixer for Visual Recognition—0
Dynamic texture and scene classification by transferring deep image features—0
Early Detection and Classification of Breast Cancer Using Deep Learning Techniques—0
Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network—0
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads—0
Eating Habits Discovery in Egocentric Photo-streams—0
EBHI:A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation—0
SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings—0
ECG Arrhythmia Classification Using Transfer Learning from 2-Dimensional Deep CNN Features—0
ECO: Ensembling Context Optimization for Vision-Language Models—0
EDDA: Explanation-driven Data Augmentation to Improve Explanation Faithfulness—0
Edge AI: Evaluation of Model Compression Techniques for Convolutional Neural Networks—0
Edge AI without Compromise: Efficient, Versatile and Accurate Neurocomputing in Resistive Random-Access Memory—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
10RevCol-HTop 1 Accuracy90—Unverified