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 7501–7525 of 10420 papers

TitleStatusHype
One Weight Bitwidth to Rule Them All—0
Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory—0
Robustness and Overfitting Behavior of Implicit Background ModelsCode0
Graph Neural Networks for UnsupervisedDomain Adaptation of Histopathological ImageAnalytics—0
A Survey on Assessing the Generalization Envelope of Deep Neural Networks: Predictive Uncertainty, Out-of-distribution and Adversarial Samples—0
Spatial--spectral FFPNet: Attention-Based Pyramid Network for Segmentation and Classification of Remote Sensing Images—0
Utilizing Explainable AI for Quantization and Pruning of Deep Neural Networks—0
iCaps: An Interpretable Classifier via Disentangled Capsule Networks—0
Physically-Constrained Transfer Learning through Shared Abundance Space for Hyperspectral Image Classification—0
Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature AlignmentCode0
Learning Connectivity of Neural Networks from a Topological Perspective—0
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images—0
Two-phase Dynamic Routing for Micro and Macro-level Equivariance in Multi-Column Capsule NetworksCode0
Source Free Domain Adaptation with Image Translation—0
Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty—0
Network Architecture Search for Domain Adaptation—0
Can weight sharing outperform random architecture search? An investigation with TuNAS—0
Deep Networks with Fast Retraining—0
Single-Photon Image Classification—0
A statistical theory of cold posteriors in deep neural networks—0
FATNN: Fast and Accurate Ternary Neural Networks—0
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network—0
Null-sampling for Interpretable and Fair RepresentationsCode0
An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural NetworksCode0
Uncertainty Quantification using Variational Inference for Biomedical Image SegmentationCode0
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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