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 3851–3875 of 10420 papers

TitleStatusHype
HyperZZW Operator Connects Slow-Fast Networks for Full Context InteractionCode0
Dataset Condensation Driven Machine UnlearningCode0
Towards Physical Plausibility in Neuroevolution SystemsCode0
Deep Learning-Driven Approach for Handwritten Chinese Character Classification—0
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs—0
Selection of gamma events from IACT images with deep learning methods—0
Few and Fewer: Learning Better from Few Examples Using Fewer Base ClassesCode0
Generating Multi-Center Classifier via Conditional Gaussian DistributionCode0
Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy—0
Memory-Inspired Temporal Prompt Interaction for Text-Image Classification—0
Additional Look into GAN-based Augmentation for Deep Learning COVID-19 Image Classification—0
MixMobileNet: A Mixed Mobile Network for Edge Vision Applications—0
Exploring the Unexplored: Understanding the Impact of Layer Adjustments on Image Classification—0
CNN architecture extraction on edge GPU—0
An Ultralightweight Hybrid CNN Based on Redundancy Removal for Hyperspectral Image Classification—0
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN—0
DDI-CoCo: A Dataset For Understanding The Effect Of Color Contrast In Machine-Assisted Skin Disease DetectionCode0
LDCA: Local Descriptors with Contextual Augmentation for Few-Shot Learning—0
Interpreting Equivariant Representations—0
Parametric Matrix Models—0
Leveraging Chat-Based Large Vision Language Models for Multimodal Out-Of-Context Detection—0
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning—0
Medical Image Debiasing by Learning Adaptive Agreement from a Biased CouncilCode0
Augmenting Prototype Network with TransMix for Few-shot Hyperspectral Image ClassificationCode0
TIM: An Efficient Temporal Interaction Module for Spiking Transformer—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