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

Showing 18261850 of 10420 papers

TitleStatusHype
Multiscale Context-Aware Ensemble Deep KELM for Efficient Hyperspectral Image ClassificationCode1
Multi-Modal Reasoning Graph for Scene-Text Based Fine-Grained Image Classification and RetrievalCode1
Stereopagnosia: Fooling Stereo Networks with Adversarial PerturbationsCode1
Searching for Low-Bit Weights in Quantized Neural NetworksCode1
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without TricksCode1
MoPro: Webly Supervised Learning with Momentum PrototypesCode1
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning ProcessesCode1
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal MixupCode1
Understanding the Role of Individual Units in a Deep Neural NetworkCode1
Region Comparison Network for Interpretable Few-shot Image ClassificationCode1
Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset ShiftsCode1
Improving Self-Organizing Maps with Unsupervised Feature ExtractionCode1
S3NAS: Fast NPU-aware Neural Architecture Search MethodologyCode1
Imbalanced Image Classification with Complement Cross EntropyCode1
Protect, Show, Attend and Tell: Empowering Image Captioning Models with Ownership ProtectionCode1
Self-Supervised Learning for Large-Scale Unsupervised Image ClusteringCode1
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema AssessmentCode1
Abstracting Deep Neural Networks into Concept Graphs for Concept Level InterpretabilityCode1
Contextual Diversity for Active LearningCode1
An Overview of Deep Learning Architectures in Few-Shot Learning DomainCode1
An Ensemble of Simple Convolutional Neural Network Models for MNIST Digit RecognitionCode1
More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery ClassificationCode1
Non-convex Learning via Replica Exchange Stochastic Gradient MCMCCode1
Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text AttacksCode1
Graph Convolutional Networks for Hyperspectral Image ClassificationCode1
Show:102550
← PrevPage 74 of 417Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified