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 8201–8250 of 10420 papers

TitleStatusHype
Regularizing Neural Networks by Penalizing Confident Output DistributionsCode0
Regularizing Neural Networks by Stochastically Training Layer EnsemblesCode0
Regularizing cross entropy loss via minimum entropy and K-L divergenceCode0
Regularized Evolution for Image Classifier Architecture SearchCode0
Regularization of Neural Networks using DropConnectCode0
Compact Bilinear PoolingCode0
Regularization-based Pruning of Irrelevant Weights in Deep Neural ArchitecturesCode0
Unsupervised Attention Mechanism across Neural Network LayersCode0
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)Code0
Sharpen Focus: Learning with Attention Separability and ConsistencyCode0
FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image ClassificationCode0
Compact and De-biased Negative Instance Embedding for Multi-Instance Learning on Whole-Slide Image ClassificationCode0
A Dynamic Reduction Network for Point CloudsCode0
Reducing Texture Bias of Deep Neural Networks via Edge Enhancing DiffusionCode0
Reducing Overlearning through Disentangled Representations by Suppressing Unknown TasksCode0
Reduced storage direct tensor ring decomposition for convolutional neural networks compressionCode0
Recursive Autoconvolution for Unsupervised Learning of Convolutional Neural NetworksCode0
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image SegmentationCode0
FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image ClassificationCode0
Are there any 'object detectors' in the hidden layers of CNNs trained to identify objects or scenes?Code0
Compact and Optimal Deep Learning with Recurrent Parameter GeneratorsCode0
FakeFormer: Efficient Vulnerability-Driven Transformers for Generalisable Deepfake DetectionCode0
Recurrent Highway Networks with Grouped Auxiliary MemoryCode0
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline ApproachCode0
Recurrent computations for visual pattern completionCode0
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural NetworksCode0
Are Straight-Through gradients and Soft-Thresholding all you need for Sparse Training?Code0
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and HumansCode0
Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial ExamplesCode0
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative PretrainingCode0
Reconciliation of Statistical and Spatial Sparsity For Robust Image and Image-Set ClassificationCode0
Recombinator Networks: Learning Coarse-to-Fine Feature AggregationCode0
Reciprocal Supervised Learning Improves Neural Machine TranslationCode0
Recipe recognition with large multimodal food datasetCode0
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture SearchCode0
Recent Advances in Deep Learning for Object DetectionCode0
[Re] A Reproduction of Ensemble Distribution DistillationCode0
Real-valued continued fraction of straight linesCode0
Real-Time Weather Image Classification with SVMCode0
Facing the Void: Overcoming Missing Data in Multi-View ImageryCode0
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural NetworksCode0
Enhancing Self-Supervised Learning for Remote Sensing with Elevation Data: A Case Study with Scarce And High Level Semantic LabelsCode0
A Baseline for Few-Shot Image ClassificationCode0
Real-Time Edge Classification: Optimal Offloading under Token Bucket ConstraintsCode0
Real-Time Damage Detection in Fiber Lifting Ropes Using Lightweight Convolutional Neural NetworksCode0
Real-Time Correlation Tracking via Joint Model Compression and TransferCode0
Facilitated machine learning for image-based fruit quality assessmentCode0
Face Spoofing Detection using Deep LearningCode0
Extreme Memorization via Scale of InitializationCode0
Rapid-INR: Storage Efficient CPU-free DNN Training Using Implicit Neural RepresentationCode0
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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