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 6501–6550 of 10420 papers

TitleStatusHype
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack—0
Multimodal Item Categorization Fully Based on Transformer—0
Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework—0
Adaptable image quality assessment using meta-reinforcement learning of task amenability—0
Rethinking and Improving Relative Position Encoding for Vision Transformer—0
PPT Fusion: Pyramid Patch Transformerfor a Case Study in Image Fusion—0
United We Learn Better: Harvesting Learning Improvements From Class Hierarchies Across TasksCode0
Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention—0
A Low-Cost Neural ODE with Depthwise Separable Convolution for Edge Domain Adaptation on FPGAs—0
Dataset Distillation with Infinitely Wide Convolutional NetworksCode0
Identify Apple Leaf Diseases Using Deep Learning Algorithm—0
COPS: Controlled Pruning Before Training Starts—0
Convergence of Deep ReLU Networks—0
Compensation Learning—0
HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification—0
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding—0
Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework—0
Boosting Video Captioning with Dynamic Loss Network—0
Temporal-wise Attention Spiking Neural Networks for Event Streams Classification—0
An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products—0
Multi-Label Image Classification with Contrastive Learning—0
Reconstructing Images of Two Adjacent Objects through Scattering Medium Using Generative Adversarial Network—0
Compositional Models: Multi-Task Learning and Knowledge Transfer with Modular Networks—0
MCDAL: Maximum Classifier Discrepancy for Active LearningCode0
RGB Image Classification with Quantum Convolutional Ansaetze—0
Pruning Ternary Quantization—0
Rethinking Hard-Parameter Sharing in Multi-Domain Learning—0
Federated Learning Versus Classical Machine Learning: A Convergence Comparison—0
Protecting Semantic Segmentation Models by Using Block-wise Image Encryption with Secret Key from Unauthorized Access—0
Precision-Weighted Federated Learning—0
Understanding Gender and Racial Disparities in Image Recognition Models—0
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report)Code0
A New Clustering-Based Technique for the Acceleration of Deep Convolutional Networks—0
Quantum Deep Learning: Sampling Neural Nets with a Quantum Annealer—0
A High-Performance Adaptive Quantization Approach for Edge CNN Applications—0
PICASO: Permutation-Invariant Cascaded Attentional Set OperatorCode0
A Comparative Study of Deep Learning Classification Methods on a Small Environmental Microorganism Image Dataset (EMDS-6): from Convolutional Neural Networks to Visual Transformers—0
Compact and Optimal Deep Learning with Recurrent Parameter GeneratorsCode0
An Efficient and Small Convolutional Neural Network for Pest Recognition -- ExquisiteNet—0
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classificationCode0
Interpretable Mammographic Image Classification using Case-Based Reasoning and Deep Learning—0
Improvement of image classification by multiple optical scattering—0
Learning from Crowds with Sparse and Imbalanced Annotations—0
Contrast R-CNN for Continual Learning in Object Detection—0
Local-to-Global Self-Attention in Vision TransformersCode0
Detection of Plant Leaf Disease Directly in the JPEG Compressed Domain using Transfer Learning Technique—0
Towards Robust General Medical Image SegmentationCode0
Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs—0
Exploiting the relationship between visual and textual features in social networks for image classification with zero-shot deep learning—0
Local semantic enhanced convnet for aerial scene recognitionCode0
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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