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 6701–6750 of 10420 papers

TitleStatusHype
Drawing Multiple Augmentation Samples Per Image During Training Efficiently Decreases Test Error—0
Learning Structures for Deep Neural Networks—0
Training With Data Dependent Dynamic Learning Rates—0
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities—0
ViPTT-Net: Video pretraining of spatio-temporal model for tuberculosis type classification from chest CT scansCode0
StructuralLM: Structural Pre-training for Form Understanding—0
Semi-supervised learning of images with strong rotational disorder: assembling nanoparticle librariesCode0
Improved OOD Generalization via Adversarial Training and Pre-training—0
Pulmonary embolism identification in computerized tomography pulmonary angiography scans with deep learning technologies in COVID-19 patients—0
PLM: Partial Label Masking for Imbalanced Multi-label Classification—0
Compressing Deep CNNs using Basis Representation and Spectral Fine-tuningCode0
ActCooLR – High-Level Learning Rate Schedules using Activation Pattern Temperature—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers—0
Anomaly Detection of Adversarial Examples using Class-conditional Generative Adversarial NetworksCode0
Safety Metrics for Semantic Segmentation in Autonomous Driving—0
Rotation invariant CNN using scattering transform for image classification—0
The Regularizing Effect of Different Output Layer Designs in Deep Neural Networks—0
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks—0
Visual representation of negation: Real world data analysis on comic image design—0
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray—0
Intra-Model Collaborative Learning of Neural Networks—0
Opening Deep Neural Networks with Generative ModelsCode0
A Lightweight Privacy-Preserving Scheme Using Label-based Pixel Block Mixing for Image Classification in Deep LearningCode0
Prototype Guided Federated Learning of Visual Feature Representations—0
Accelerating Gossip SGD with Periodic Global Averaging—0
Correlated Input-Dependent Label Noise in Large-Scale Image Classification—0
Inplace knowledge distillation with teacher assistant for improved training of flexible deep neural networks—0
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval—0
Dermoscopic Image Classification with Neural Style Transfer—0
Large-Scale Unsupervised Person Re-Identification with Contrastive Learning—0
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments—0
Real-time Detection of Practical Universal Adversarial Perturbations—0
Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: from convolutional neural networks to visual transformers—0
Analyzing Images for Music Recommendation—0
Rethinking Skip Connection with Layer Normalization in Transformers and ResNets—0
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment—0
Adaptive Test-Time Augmentation for Low-Power CPU—0
Improved Algorithms for Agnostic Pool-based Active Classification—0
Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency—0
A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-LabelsCode0
Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay—0
Label Geometry Aware Discriminator for Conditional Generative Networks—0
A Graph Neural Network Approach for Product Relationship Prediction—0
A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High Resolution SAR Image Classification—0
Image Classification with Classic and Deep Learning TechniquesCode0
AFINet: Attentive Feature Integration Networks for Image Classification—0
Examining convolutional feature extraction using Maximum Entropy (ME) and Signal-to-Noise Ratio (SNR) for image classification—0
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference—0
Robust Training Using Natural Transformation—0
An Enhanced Randomly Initialized Convolutional Neural Network for Columnar Cactus Recognition in Unmanned Aerial Vehicle Imagery—0
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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