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 326–350 of 453 papers

TitleStatusHype
A Hierarchical Approach to Remote Sensing Scene Classification—0
A high-resolution canopy height model of the Earth—0
A Hybrid Approach with Multi-channel I-Vectors and Convolutional Neural Networks for Acoustic Scene Classification—0
AID++: An Updated Version of AID on Scene Classification—0
AI Foundation Models in Remote Sensing: A Survey—0
AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification—0
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends—0
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification—0
A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification—0
A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification—0
A Multi-Stage Duplex Fusion ConvNet for Aerial Scene Classification—0
An Acoustic Segment Model Based Segment Unit Selection Approach to Acoustic Scene Classification with Partial Utterances—0
An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network—0
An ensemble learning method for scene classification based on Hidden Markov Model image representation—0
An evaluation of data augmentation methods for sound scene geotagging—0
A probabilistic patch based image representation using Conditional Random Field model for image classification—0
A punishment voting algorithm based on super categories construction for acoustic scene classification—0
Artistic Object Recognition by Unsupervised Style Adaptation—0
ASK: Adaptively Selecting Key Local Features for RGB-D Scene Recognition—0
A Spatial Layout and Scale Invariant Feature Representation for Indoor Scene Classification—0
A Squeeze-and-Excitation and Transformer based Cross-task System for Environmental Sound Recognition—0
A study on joint modeling and data augmentation of multi-modalities for audio-visual scene classification—0
A Toolchain for Comprehensive Audio/Video Analysis Using Deep Learning Based Multimodal Approach (A use case of riot or violent context detection)—0
A Transformer-based Audio Captioning Model with Keyword Estimation—0
Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification—0
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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