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 6101–6150 of 10420 papers

TitleStatusHype
Combined Depth Space based Architecture Search For Person Re-identificationCode0
Class-Wise Principal Component Analysis for hyperspectral image feature extraction—0
eGAN: Unsupervised approach to class imbalance using transfer learningCode0
Robust Training of Social Media Image Classification Models for Rapid Disaster Response—0
Direct Differentiable Augmentation SearchCode1
Reinforced Attention for Few-Shot Learning and Beyond—0
Unsupervised Class-Incremental Learning Through Confusion—0
Self-Weighted Ensemble Method to Adjust the Influence of Individual Models based on Reliability—0
CondenseNet V2: Sparse Feature Reactivation for Deep NetworksCode1
Few-Shot Action Recognition with Compromised Metric via Optimal Transport—0
Robust Self-Ensembling Network for Hyperspectral Image ClassificationCode1
Robust Differentiable SVDCode1
Prototypical Region Proposal Networks for Few-Shot Localization and Classification—0
Deep Features for training Support Vector Machine—0
HindSight: A Graph-Based Vision Model Architecture For Representing Part-Whole Hierarchies—0
Quantum Enhanced Filter: QFilter—0
Streaming Self-Training via Domain-Agnostic Unlabeled Images—0
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and RegressionCode0
Robust Semantic Interpretability: Revisiting Concept Activation VectorsCode1
Classification with Runge-Kutta networks and feature space augmentationCode0
Dopamine Transporter SPECT Image Classification for Neurodegenerative Parkinsonism via Diffusion Maps and Machine Learning Classifiers—0
White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks—0
Beyond Categorical Label Representations for Image ClassificationCode1
Tuned Compositional Feature Replays for Efficient Stream LearningCode0
Fourier Image TransformerCode1
Explainability-aided Domain Generalization for Image Classification—0
Towards Self-Adaptive Metric Learning On the Fly—0
Unconstrained Face Recognition using ASURF and Cloud-Forest Classifier optimized with VLAD—0
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty CalibrationCode0
AAformer: Auto-Aligned Transformer for Person Re-Identification—0
LiftPool: Bidirectional ConvNet Pooling—0
LeViT: a Vision Transformer in ConvNet's Clothing for Faster InferenceCode1
Estimating the Generalization in Deep Neural Networks via Sparsity—0
Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural NetworkCode0
Defending Against Image Corruptions Through Adversarial Augmentations—0
Network Quantization with Element-wise Gradient ScalingCode1
Keep Learning: Self-supervised Meta-learning for Learning from Inference—0
EfficientNetV2: Smaller Models and Faster TrainingCode3
Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation—0
Remote Sensing Image Classification with the SEN12MS DatasetCode1
The Effects of Spectral Dimensionality Reduction on Hyperspectral Pixel Classification: A Case Study—0
Anytime Dense Prediction with Confidence AdaptivityCode1
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study—0
SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image ClassificationCode1
On the Robustness of Vision Transformers to Adversarial ExamplesCode1
Spectral decoupling allows training transferable neural networks in medical imaging—0
A Novel Deep ML Architecture by Integrating Visual Simultaneous Localization and Mapping (vSLAM) into Mask R-CNN for Real-time Surgical Video Analysis—0
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition—0
Going deeper with Image TransformersCode1
Fixing the Teacher-Student Knowledge Discrepancy in Distillation—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