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 126–150 of 453 papers

TitleStatusHype
Evaluation of the potential of Near Infrared Hyperspectral Imaging for monitoring the invasive brown marmorated stink bug—0
Robust Remote Sensing Scene Classification with Multi-View Voting and Entropy Ranking—0
Credible Remote Sensing Scene Classification Using Evidential Fusion on Aerial-Ground Dual-view ImagesCode0
ReactioNet: Learning High-Order Facial Behavior from Universal Stimulus-Reaction by Dyadic Relation Reasoning—0
Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification—0
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends—0
One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning—0
SpectNet : End-to-End Audio Signal Classification Using Learnable SpectrogramsCode0
Backdoor Attacks for Remote Sensing Data with Wavelet TransformCode1
Dynamic loss balancing and sequential enhancement for road-safety assessment and traffic scene classification—0
CochlScene: Acquisition of acoustic scene data using crowdsourcingCode0
Efficient Similarity-based Passive Filter Pruning for Compressing CNNsCode0
Multi-dimensional Edge-based Audio Event Relational Graph Representation Learning for Acoustic Scene ClassificationCode1
Multi-Source Transformer Architectures for Audiovisual Scene Classification—0
Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Context—0
WaveMix-Lite: A Resource-efficient Neural Network for Image AnalysisCode1
A Continual Development Methodology for Large-scale Multitask Dynamic ML SystemsCode0
Binaural Signal Representations for Joint Sound Event Detection and Acoustic Scene Classification—0
Leveraging Large (Visual) Language Models for Robot 3D Scene UnderstandingCode1
All grains, one scheme (AGOS): Learning multigrain instance representation for aerial scene classificationCode0
Minimizing the Effect of Noise and Limited Dataset Size in Image Classification Using Depth Estimation as an Auxiliary Task with Deep Multitask Learning—0
Low-complexity CNNs for Acoustic Scene Classification—0
Low-complexity CNNs for Acoustic Scene Classification—0
Scene Recognition with Objectness, Attribute and Category Learning—0
SeasoNet: A Seasonal Scene Classification, segmentation and Retrieval dataset for satellite Imagery over Germany—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