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 5351–5400 of 10420 papers

TitleStatusHype
Attention Tree: Learning Hierarchies of Visual Features for Large-Scale Image Recognition—0
Learning Identity Mappings with Residual Gates—0
Introspection for convolutional automatic speech recognition—0
Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning—0
Intrusion Detection: Machine Learning Baseline Calculations for Image Classification—0
Intuitionistic Fuzzy Cognitive Maps for Interpretable Image Classification—0
Deep Learning in the Automotive Industry: Applications and Tools—0
Invariance-Guided Feature Evolution for Few-Shot Learning—0
Cross-Modal Concept Learning and Inference for Vision-Language Models—0
Bonseyes AI Pipeline -- bringing AI to you. End-to-end integration of data, algorithms and deployment tools—0
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification—0
Deep Learning Mixture-of-Experts Approach for Cytotoxic Edema Assessment in Infants and Children—0
Auxiliary Cross-Modal Representation Learning with Triplet Loss Functions for Online Handwriting Recognition—0
Invariant Learning via Diffusion Dreamed Distribution Shifts—0
Hierarchical Image Classification with A Literally Toy Dataset—0
Attention Spiking Neural Networks—0
Learning Hyperspectral Feature Extraction and Classification with ResNeXt Network—0
Learning Image Conditioned Label Space for Multilabel Classification—0
Deep Learning Representation using Autoencoder for 3D Shape Retrieval—0
Inverse-Free Fast Natural Gradient Descent Method for Deep Learning—0
Hierarchical Gaussian Descriptors with Application to Person Re-Identification—0
Inverting The Generator Of A Generative Adversarial Network—0
Investigating a Baseline Of Self Supervised Learning Towards Reducing Labeling Costs For Image Classification—0
Attention Regularized Laplace Graph for Domain Adaptation—0
Hierarchical Gaussian Descriptor for Person Re-Identification—0
Hierarchical Expert Networks for Meta-Learning—0
AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for Convolutional Neural Networks—0
Deep Learning Techniques for Geospatial Data Analysis—0
Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images—0
Investigating the Robustness of Vision Transformers against Label Noise in Medical Image Classification—0
CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer—0
Mapping Generative Models onto a Network of Digital Spiking Neurons—0
Hierarchical Adaptive Structural SVM for Domain Adaptation—0
Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It—0
Cross-label Suppression: A Discriminative and Fast Dictionary Learning with Group Regularization—0
AdaFamily: A family of Adam-like adaptive gradient methods—0
Spatial-Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification—0
Deep learning for image segmentation: veritable or overhyped?—0
I See Dead People: Gray-Box Adversarial Attack on Image-To-Text Models—0
Is forgetting less a good inductive bias for forward transfer?—0
Learning image quality assessment by reinforcing task amenable data selection—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
Is it all a cluster game? -- Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space—0
Balancing Average and Worst-case Accuracy in Multitask Learning—0
Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization—0
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study—0
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate—0
Is my Driver Observation Model Overconfident? Input-guided Calibration Networks for Reliable and Interpretable Confidence Estimates—0
Is network fragmentation a useful complexity measure?—0
Hidden Classification Layers: Enhancing linear separability between classes in neural networks layers—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