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

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Showing 3951–4000 of 10420 papers

TitleStatusHype
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain AlignmentCode0
Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann MachinesCode0
ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain AdaptationCode0
Learning Representations by Maximizing Mutual Information Across ViewsCode0
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural NetworksCode0
Image classification and retrieval with random depthwise signed convolutional neural networksCode0
Image Classification with Hierarchical Multigraph NetworksCode0
Impact of ImageNet Model Selection on Domain AdaptationCode0
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning ServicesCode0
Identifying Adversarially Attackable and Robust SamplesCode0
CycleMix: Mixing Source Domains for Domain Generalization in Style-Dependent DataCode0
Augmented Balanced Image Dataset Generator Using AugStatic LibraryCode0
Identification of Stone Deterioration Patterns with Large Multimodal ModelsCode0
Identifying Bias in Deep Neural Networks Using Image TransformsCode0
Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AICode0
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging ClassificationCode0
IDEA: Image Description Enhanced CLIP-AdapterCode0
Bayesian Statistics Guided Label Refurbishment Mechanism: Mitigating Label Noise in Medical Image ClassificationCode0
Fast Low-rank Shared Dictionary Learning for Image ClassificationCode0
Statistical Guarantees for the Robustness of Bayesian Neural NetworksCode0
Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image ClassificationCode0
Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image ClassificationCode0
Identifying Transients in the Dark Energy Survey using Convolutional Neural NetworksCode0
Cartoon Face Recognition: A Benchmark DatasetCode0
CurriculumNet: Weakly Supervised Learning from Large-Scale Web ImagesCode0
iCAR: Bridging Image Classification and Image-text Alignment for Visual RecognitionCode0
I-CEE: Tailoring Explanations of Image Classification Models to User ExpertiseCode0
Fast Solar Image Classification Using Deep Learning and its Importance for Automation in Solar PhysicsCode0
Curriculum Meta-Learning for Few-shot ClassificationCode0
AdaPlus: Integrating Nesterov Momentum and Precise Stepsize Adjustment on AdamW BasisCode0
Curriculum DropoutCode0
I Bet You Did Not Mean That: Testing Semantic Importance via BettingCode0
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual RecognitionCode0
Tuned Compositional Feature Replays for Efficient Stream LearningCode0
Hyperspectral Image Classification With Contrastive Graph Convolutional NetworkCode0
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial PerturbationsCode0
HyperZZW Operator Connects Slow-Fast Networks for Full Context InteractionCode0
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier AnchoringCode0
Hysteresis Activation Function for Efficient InferenceCode0
A Twofold Siamese Network for Real-Time Object TrackingCode0
CTRL-F: Pairing Convolution with Transformer for Image Classification via Multi-Level Feature Cross-Attention and Representation Learning FusionCode0
Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural NetworkCode0
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy ImitationCode0
Feasible LearningCode0
Arithmetic addition of two integers by deep image classification networks: experiments to quantify their autonomous reasoning abilityCode0
Structural Pruning via Spatial-aware Information Redundancy for Semantic SegmentationCode0
CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registrationCode0
Structured Analysis Dictionary Learning for Image ClassificationCode0
Ajwa or Medjool: a binary balanced dataset to teach machine learning عجوة أو مجدول: مجموعة بيانات متوازنة الصنفين لتدريس تعلم الآلة‏Code0
A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNsCode0
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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