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 5651–5675 of 10420 papers

TitleStatusHype
A High-Performance Adaptive Quantization Approach for Edge CNN Applications—0
PICASO: Permutation-Invariant Cascaded Attentional Set OperatorCode0
A Comparative Study of Deep Learning Classification Methods on a Small Environmental Microorganism Image Dataset (EMDS-6): from Convolutional Neural Networks to Visual Transformers—0
Rectifying the Shortcut Learning of Background for Few-Shot LearningCode1
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale TasksCode1
Compact and Optimal Deep Learning with Recurrent Parameter GeneratorsCode0
An Efficient and Small Convolutional Neural Network for Pest Recognition -- ExquisiteNet—0
A Fuzzy Rank-based Ensemble of CNN Models for Classification of Cervical CytologyCode1
Training Compact CNNs for Image Classification using Dynamic-coded Filter FusionCode1
Visual Parser: Representing Part-whole Hierarchies with TransformersCode1
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classificationCode0
Automated Learning Rate Scheduler for Large-batch TrainingCode1
Improvement of image classification by multiple optical scattering—0
Interpretable Mammographic Image Classification using Case-Based Reasoning and Deep Learning—0
Contrast R-CNN for Continual Learning in Object Detection—0
Learning from Crowds with Sparse and Imbalanced Annotations—0
Local-to-Global Self-Attention in Vision TransformersCode0
Detection of Plant Leaf Disease Directly in the JPEG Compressed Domain using Transfer Learning Technique—0
Semi-Supervised Learning with Multi-Head Co-TrainingCode1
Towards Robust General Medical Image SegmentationCode0
Local semantic enhanced convnet for aerial scene recognitionCode0
Fuzzy Rank-based Fusion of CNN Models using Gompertz Function for Screening COVID-19 CT-ScansCode0
Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs—0
Exploiting the relationship between visual and textual features in social networks for image classification with zero-shot deep learning—0
Federated Model Search via Reinforcement Learning—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