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 5576–5600 of 10420 papers

TitleStatusHype
Deep Neural Networks and PIDE discretizations—0
A Low Rank Promoting Prior for Unsupervised Contrastive Learning—0
Using Metamorphic Relations to Verify and Enhance Artcode Classification—0
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning—0
Unifying Nonlocal Blocks for Neural NetworksCode1
Generic Neural Architecture Search via RegressionCode1
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision TransformerCode1
Rapid Elastic Architecture Search under Specialized Classes and Resource Constraints—0
Domain Generalization via Gradient SurgeryCode1
Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition SystemsCode1
Inference via Sparse Coding in a Hierarchical Vision ModelCode0
From augmented microscopy to the topological transformer: a new approach in cell image analysis for Alzheimer's research—0
Vision Transformer with Progressive SamplingCode1
SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis—0
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack—0
Multiple Classifiers Based Maximum Classifier Discrepancy for Unsupervised Domain AdaptationCode0
Self-Supervised Feature Learning of 1D Convolutional Neural Networks with Contrastive Loss for Eating Detection Using an In-Ear MicrophoneCode0
Group Fisher Pruning for Practical Network CompressionCode1
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT—0
Detectron2 Object Detection & Manipulating Images using CartoonizationCode4
Multimodal Item Categorization Fully Based on Transformer—0
Adaptable image quality assessment using meta-reinforcement learning of task amenability—0
Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework—0
CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale AttentionCode1
DPT: Deformable Patch-based Transformer for Visual RecognitionCode1
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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