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 4976–5000 of 10420 papers

TitleStatusHype
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property—0
CNN Feature Map Augmentation for Single-Source Domain Generalization—0
Explainers in the Wild: Making Surrogate Explainers Robust to Distortions through Perception—0
Explainable unsupervised multi-modal image registration using deep networks—0
VAC-CNN: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks—0
A precortical module for robust CNNs to light variations—0
Explainable Metric Learning for Deflating Data Bias—0
CNN-based Local Vision Transformer for COVID-19 Diagnosis—0
Explainable Knowledge Distillation for On-device Chest X-Ray Classification—0
Explainable Image Classification with Evidence Counterfactual—0
CNN Based Flank Predictor for Quadruped Animal Species—0
A precortical module for robust CNNs to light variations—0
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective—0
A concatenating framework of shortcut convolutional neural networks—0
AAformer: Auto-Aligned Transformer for Person Re-Identification—0
Explainable Disease Classification via weakly-supervised segmentation—0
CNN Based Analysis of the Luria’s Alternating Series Test for Parkinson’s Disease Diagnostics—0
CNN architecture extraction on edge GPU—0
A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval—0
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models—0
Explainable Analysis of Deep Learning Methods for SAR Image Classification—0
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey—0
Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching—0
CNN and ViT Efficiency Study on Tiny ImageNet and DermaMNIST Datasets—0
Approximation properties of Residual Neural Networks for Kolmogorov PDEs—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