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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 276–300 of 453 papers

TitleStatusHype
Acoustic scene classification in DCASE 2020 Challenge: generalization across devices and low complexity solutions—0
ACGAN-based Data Augmentation Integrated with Long-term Scalogram for Acoustic Scene Classification—0
Spatial Information Considered Network for Scene ClassificationCode0
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities—0
Unsupervised Domain Adaptation for Acoustic Scene Classification Using Band-Wise Statistics Matching—0
Acoustic Scene Classification using Audio Tagging—0
Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification—0
Acoustic Scene Classification with Squeeze-Excitation Residual Networks—0
A multiple-instance densely-connected ConvNet for aerial scene classificationCode0
DEEVA: A Deep Learning and IoT Based Computer Vision System to Address Safety and Security of Production Sites in Energy Industry—0
Acoustic Scene Classification Using Bilinear Pooling on Time-liked and Frequency-liked Convolution Neural Network—0
Vision-based Fight Detection from Surveillance CamerasCode1
Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification—0
BigEarthNet Dataset with A New Class-Nomenclature for Remote Sensing Image Understanding—0
Contextual Sense Making by Fusing Scene Classification, Detections, and Events in Full Motion Video—0
Multi-Scale Weight Sharing Network for Image Recognition—0
Neural Architecture Search on Acoustic Scene Classification—0
Environmental Sound Classification with Parallel Temporal-spectral Attention—0
Deliberative Explanations: visualizing network insecuritiesCode0
A Discriminative Learned CNN Embedding for Remote Sensing Image Scene Classification—0
In-domain representation learning for remote sensingCode0
Characterizing dynamically varying acoustic scenes from egocentric audio recordings in workplace setting—0
Centroid Based Concept Learning for RGB-D Indoor Scene ClassificationCode0
Deep Metric Learning-Based Feature Embedding for Hyperspectral Image ClassificationCode0
Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNsCode1
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All datasetsUC Merced Land Use DatasetPlaces365-Standard

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