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 2501–2525 of 10420 papers

TitleStatusHype
A priori compression of convolutional neural networks for wave simulators—0
PreMix: Addressing Label Scarcity in Whole Slide Image Classification with Pre-trained Multiple Instance Learning Aggregators—0
Dopamine Transporter SPECT Image Classification for Neurodegenerative Parkinsonism via Diffusion Maps and Machine Learning Classifiers—0
CNNs Avoid Curse of Dimensionality by Learning on Patches—0
A Principled Hierarchical Deep Learning Approach to Joint Image Compression and Classification—0
AAformer: Auto-Aligned Transformer for Person Re-Identification—0
A Preliminary Study on Data Augmentation of Deep Learning for Image Classification—0
Adversarial Masked Image Inpainting for Robust Detection of Mpox and Non-Mpox—0
Do More Dropouts in Pool5 Feature Maps for Better Object Detection—0
CNN Feature Map Augmentation for Single-Source Domain Generalization—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
CNN-based Local Vision Transformer for COVID-19 Diagnosis—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
Don’t Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights—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
CNN and ViT Efficiency Study on Tiny ImageNet and DermaMNIST Datasets—0
Approximation properties of Residual Neural Networks for Kolmogorov PDEs—0
Adversarially Robust Generalization Requires More Data—0
A Computational Account Of Self-Supervised Visual Learning From Egocentric Object Play—0
ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning—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