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 6651–6700 of 10420 papers

TitleStatusHype
Nonlinear Tensor Ring Network—0
Multiple EffNet/ResNet Architectures for Melanoma Classification—0
Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification—0
Conversion and Implementation of State-of-the-Art Deep Learning Algorithms for the Classification of Diabetic Retinopathy—0
Generating Triples with Adversarial Networks for Scene Graph Construction—0
Convergence of Deep ReLU Networks—0
A Survey on Evolutionary Neural Architecture Search—0
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities—0
Generating Realistic COVID19 X-rays with a Mean Teacher + Transfer Learning GAN—0
Multiplex-detection Based Multiple Instance Learning Network for Whole Slide Image Classification—0
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization—0
Multiplicative Learning—0
conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks—0
Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1—0
Multi-Receiver Task-Oriented Communications via Multi-Task Deep Learning—0
Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning—0
Non-Coherent Over-the-Air Decentralized Gradient Descent—0
ConvBLS: An Effective and Efficient Incremental Convolutional Broad Learning System for Image Classification—0
Multi-Sample ζ-mixup: Richer, More Realistic Synthetic Samples from a p-Series Interpolant—0
Dynamic Spectrum Mixer for Visual Recognition—0
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends—0
Nonconvex Continual Learning with Episodic Memory—0
Non-convex non-local flows for saliency detection—0
Generating Minimal Adversarial Perturbations with Integrated Adaptive Gradients—0
Control-oriented Clustering of Visual Latent Representation—0
Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification—0
Generating Image Captions in Arabic using Root-Word Based Recurrent Neural Networks and Deep Neural Networks—0
A Survey on Deep Learning in Medical Image Analysis—0
A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms—0
An Invisible Backdoor Attack Based On Semantic Feature—0
Multi-Scale Prototypical Transformer for Whole Slide Image Classification—0
Multi-scale recognition with DAG-CNNs—0
Generating Efficient DNN-Ensembles with Evolutionary Computation—0
Multi-Scale Semantic Segmentation with Modified MBConv Blocks—0
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification—0
MultiScale Spectral-Spatial Convolutional Transformer for Hyperspectral Image Classification—0
Controllable Invariance through Adversarial Feature Learning—0
Generating Counterfactual Explanations with Natural Language—0
Generating and Modifying Natural Language Explanations—0
Active Learning for Object Detection with Non-Redundant Informative Sampling—0
Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning—0
Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification—0
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads—0
Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models—0
Nonlocal Kernel Network (NKN): a Stable and Resolution-Independent Deep Neural Network—0
Generating Adversarial Perturbation with Root Mean Square Gradient—0
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving—0
Eating Habits Discovery in Egocentric Photo-streams—0
Contributor-Aware Defenses Against Adversarial Backdoor Attacks—0
A Survey on Contrastive Self-supervised Learning—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