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 5551–5600 of 10420 papers

TitleStatusHype
m-RevNet: Deep Reversible Neural Networks with Momentum—0
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization OpportunitiesCode0
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations—0
Logit Attenuating Weight Normalization—0
Is Differentiable Architecture Search truly a One-Shot Method?—0
Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural NetworksCode0
Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound—0
Simple black-box universal adversarial attacks on medical image classification based on deep neural networks—0
Cervical Optical Coherence Tomography Image Classification Based on Contrastive Self-Supervised Texture LearningCode0
Discriminative Distillation to Reduce Class Confusion in Continual Learning—0
SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version)Code1
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data—0
Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean—0
Knowledge accumulating: The general pattern of learning—0
TDLS: A Top-Down Layer Searching Algorithm for Generating Counterfactual Visual Explanation—0
WideCaps: A Wide Attention based Capsule Network for Image Classification—0
Membership Inference Attacks on Lottery Ticket NetworksCode0
Information Bottleneck Approach to Spatial Attention LearningCode1
Impact of Aliasing on Generalization in Deep Convolutional Networks—0
The Influence of Age and Gender Information on the Diagnosis of Diabetic Retinopathy: Based on Neural Networks—0
Auxiliary Class Based Multiple Choice Learning—0
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding—0
Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications—0
Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approach—0
Instance Similarity Learning for Unsupervised Feature RepresentationCode1
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