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 4601–4625 of 10420 papers

TitleStatusHype
Superpixelwise Low-Rank Approximation-Based Partial Label Learning for Hyperspectral Image ClassificationCode0
Making Vision Transformers Truly Shift-Equivariant—0
Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification—0
Triplet Knowledge Distillation—0
Image Classification of Stroke Blood Clot Origin using Deep Convolutional Neural Networks and Visual Transformers—0
ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical ImagingCode0
Frequency maps reveal the correlation between Adversarial Attacks and Implicit BiasCode0
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual LearningCode0
NOVUM: Neural Object Volumes for Robust Object ClassificationCode0
Dual Path Transformer with Partition Attention—0
Detection of Non-uniformity in Parameters for Magnetic Domain Pattern Generation by Machine Learning—0
SUVR: A Search-based Approach to Unsupervised Visual Representation Learning—0
Federated Variational Inference: Towards Improved Personalization and Generalization—0
Impact of Light and Shadow on Robustness of Deep Neural Networks—0
Enhancing Accuracy and Robustness through Adversarial Training in Class Incremental Continual Learning—0
Sorted Convolutional Network for Achieving Continuous Rotational Invariance—0
Continual Learning with Strong Experience ReplayCode0
Feasibility of Transfer Learning: A Mathematical Framework—0
Enhanced Meta Label Correction for Coping with Label CorruptionCode0
Uncertainty-based Detection of Adversarial Attacks in Semantic SegmentationCode0
Detection of healthy and diseased crops in drone captured images using Deep LearningCode0
Label Smarter, Not Harder: CleverLabel for Faster Annotation of Ambiguous Image Classification with Higher QualityCode0
Digital-SC: Digital Semantic Communication with Adaptive Network Split and Learned Non-Linear Quantization—0
Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design—0
WOT-Class: Weakly Supervised Open-world Text ClassificationCode0
Show:102550
← PrevPage 185 of 417Next →
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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified