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 5501–5525 of 10420 papers

TitleStatusHype
Robust Long-Tailed Learning under Label Noise—0
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision—0
ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic SegmentationCode0
A Comparison of Deep Saliency Map Generators on Multispectral Data in Object Detection—0
Shifted Chunk Transformer for Spatio-Temporal Representational Learning—0
Consistent Relative Confidence and Label-Free Model Selection for Convolutional Neural Networks—0
NGC: A Unified Framework for Learning with Open-World Noisy Data—0
Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization—0
Auxiliary Task Update Decomposition: The Good, The Bad and The NeutralCode0
Improving Object Detection by Label Assignment DistillationCode1
Improving Generalization of Batch Whitening by Convolutional Unit OptimizationCode0
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood DensityCode1
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image ClassificationCode0
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image ClassificationCode0
CE-Dedup: Cost-Effective Convolutional Neural Nets Training based on Image Deduplication—0
How Transferable Are Self-supervised Features in Medical Image Classification Tasks?—0
Fusion of evidential CNN classifiers for image classification—0
Training and Profiling a Pediatric Emotion Recognition Classifier on Mobile Devices—0
Spatial Transformer Networks for Curriculum Learning—0
A Novel Solution of an Elastic Net Regularization for Dementia Knowledge Discovery using Deep Learning—0
Ensemble of CNN classifiers using Sugeno Fuzzy Integral Technique for Cervical Cytology Image Classification—0
Variable-Rate Deep Image Compression through Spatially-Adaptive Feature TransformCode1
SERF: Towards better training of deep neural networks using log-Softplus ERror activation Function—0
Early-exit deep neural networks for distorted images: providing an efficient edge offloadingCode0
Semi-supervised learning for medical image classification using imbalanced training data—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