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 4251–4300 of 10420 papers

TitleStatusHype
Hybrid Classical-Quantum architecture for vectorised image classification of hand-written sketches—0
Human-aligned Deep Learning: Explainability, Causality, and Biological Inspiration—0
An Adaptive Sampling and Edge Detection Approach for Encoding Static Images for Spiking Neural Networks—0
Human Attention-Guided Explainable Artificial Intelligence for Computer Vision Models—0
Deep Residual Network based food recognition for enhanced Augmented Reality application—0
Human Action Recognition using Factorized Spatio-Temporal Convolutional Networks—0
Human-Centered Evaluation of XAI Methods—0
Bayesian Optimization for Hyperparameters Tuning in Neural Networks—0
KOALA++: Efficient Kalman-Based Optimization of Neural Networks with Gradient-Covariance Products—0
Deep Residual Axial Networks—0
Deep Repulsive Clustering of Ordered Data Based on Order-Identity Decomposition—0
Human Action Recognition in Still Images Using ConViT—0
Human Face Recognition using Gabor based Kernel Entropy Component Analysis—0
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack—0
DeepRepair: Style-Guided Repairing for DNNs in the Real-world Operational Environment—0
Deep-Relative-Trust-Based Diffusion for Decentralized Deep Learning—0
Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers—0
Deep reinforcement learning with automated label extraction from clinical reports accurately classifies 3D MRI brain volumes—0
Deep Reinforcement Learning using Capsules in Advanced Game Environments—0
A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning—0
Deep Reinforcement Learning for Task Offloading in UAV-Aided Smart Farm Networks—0
Deep reinforcement learning-based image classification achieves perfect testing set accuracy for MRI brain tumors with a training set of only 30 images—0
Deep Reinforcement Learning and its Neuroscientific Implications—0
Bayesian Learning to Optimize: Quantifying the Optimizer Uncertainty—0
Adaptive Gradient Regularization: A Faster and Generalizable Optimization Technique for Deep Neural Networks—0
HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification—0
Deep reinforced active learning for multi-class image classification—0
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning—0
Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image Classification—0
Deep Quantization: Encoding Convolutional Activations with Deep Generative Model—0
Adaptive Periodic Averaging: A Practical Approach to Reducing Communication in Distributed Learning—0
HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers—0
Bayesian Inference for Large Scale Image Classification—0
DeepPSL: End-to-end perception and reasoning—0
Achieving Explainability in a Visual Hard Attention Model through Content Prediction—0
Bayesian Federated Neural Matching that Completes Full Information—0
An Access Control Method with Secret Key for Semantic Segmentation Models—0
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks—0
Hybrid CNN Bi-LSTM neural network for Hyperspectral image classification—0
Hyperbolic Geometry in Computer Vision: A Survey—0
Bayesian Exploration of Pre-trained Models for Low-shot Image Classification—0
Deep Predictive Coding Network for Object Recognition—0
AMUN: Adversarial Machine UNlearning—0
Deep Poisoning: Towards Robust Image Data Sharing against Visual Disclosure—0
Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification—0
How Transferable Are Self-supervised Features in Medical Image Classification Tasks?—0
Deep Octonion Networks—0
Adaptive Noise-Tolerant Network for Image Segmentation—0
How Training Data Affect the Accuracy and Robustness of Neural Networks for Image Classification—0
Bayesian Adaptation for Covariate Shift—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