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 3776–3800 of 10420 papers

TitleStatusHype
Explainable Knowledge Distillation for On-device Chest X-Ray Classification—0
Explainable Metric Learning for Deflating Data Bias—0
AdaScale SGD: A Scale-Invariant Algorithm for Distributed Training—0
Explainable unsupervised multi-modal image registration using deep networks—0
Explainers in the Wild: Making Surrogate Explainers Robust to Distortions through Perception—0
Detecting Novelties with Empty Classes—0
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property—0
A Preliminary Study on Data Augmentation of Deep Learning for Image Classification—0
Explaining Clinical Decision Support Systems in Medical Imaging using Cycle-Consistent Activation Maximization—0
Detecting Localized Adversarial Examples: A Generic Approach using Critical Region Analysis—0
Explaining Convolutional Neural Networks by Tagging Filters—0
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations—0
A Principled Hierarchical Deep Learning Approach to Joint Image Compression and Classification—0
CNNs Avoid Curse of Dimensionality by Learning on Patches—0
Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation—0
AHA! an 'Artificial Hippocampal Algorithm' for Episodic Machine Learning—0
Function-Space Variational Inference for Deep Bayesian Classification—0
CNNs with Multi-Level Attention for Domain Generalization—0
Explaining non-linear Classifier Decisions within Kernel-based Deep Architectures—0
Fusing Deep Convolutional Networks for Large Scale Visual Concept Classification—0
Explaining Representation by Mutual Information—0
Explaining the Black-box Smoothly- A Counterfactual Approach—0
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability—0
Fuzzy-aware Loss for Source-free Domain Adaptation in Visual Emotion Recognition—0
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps—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