SOTAVerified

Scene Classification

Scene Classification is a task in which scenes from photographs are categorically classified. Unlike object classification, which focuses on classifying prominent objects in the foreground, Scene Classification uses the layout of objects within the scene, in addition to the ambient context, for classification.

Source: Scene classification with Convolutional Neural Networks

Papers

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Showing 251–275 of 453 papers

TitleStatusHype
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval—0
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report—0
Mini-batch graphs for robust image classification—0
Attentive max feature map and joint training for acoustic scene classification—0
An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network—0
Embedded Self-Distillation in Compact Multi-Branch Ensemble Network for Remote Sensing Scene Classification—0
SpecAugment++: A Hidden Space Data Augmentation Method for Acoustic Scene Classification—0
Environmental sound analysis with mixup based multitask learning and cross-task fusion—0
A Hierarchical Approach to Remote Sensing Scene Classification—0
Multi-Modal RGB-D Scene Recognition Across DomainsCode0
Inductive biases, pretraining and fine-tuning jointly account for brain responses to speech—0
Scene Retrieval for Contextual Visual Mapping—0
Deep Learning for Scene Classification: A Survey—0
HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks—0
Learning Visual Representation from Human Interactions—0
MGML: Multi-Granularity Multi-Level Feature Ensemble Network for Remote Sensing Scene Classification—0
Exploiting Context for Robustness to Label Noise in Active Learning—0
Remote Sensing Image Scene Classification with Self-Supervised Paradigm under Limited Labeled Samples—0
A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification—0
RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification—0
2D-3D Geometric Fusion Network using Multi-Neighbourhood Graph Convolution for RGB-D Indoor Scene Classification—0
Deriving Visual Semantics from Spatial Context: An Adaptation of LSA and Word2Vec to generate Object and Scene Embeddings from Images—0
Ground-truth or DAER: Selective Re-query of Secondary InformationCode0
Deep Learning Based Open Set Acoustic Scene Classification—0
AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1µ2Net+ (ViT-L/16)Accuracy (%)100—Unverified
2AGOSAccuracy (%)99.88—Unverified
3LSE-NetAccuracy (%)99.78—Unverified
4ResNet50Accuracy (%)99.61—Unverified
5MSMatchAccuracy (%)98.33—Unverified
6MIDC-NetAccuracy (%)97.4—Unverified
#ModelMetricClaimedVerifiedStatus
1iSQRT-COV-Net (ResNet-50)Top 1 Error43.68—Unverified
2WaveMixTop 1 Error43.55—Unverified