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 201–250 of 453 papers

TitleStatusHype
Multiple instance dense connected convolution neural network for aerial image scene classification—0
Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning—0
Multi-Scale Weight Sharing Network for Image Recognition—0
Multi-Source Transformer Architectures for Audiovisual Scene Classification—0
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification—0
Nearest Neighbor Based Out-of-Distribution Detection in Remote Sensing Scene Classification—0
Neural Architecture Search on Acoustic Scene Classification—0
Neurobench: DCASE 2020 Acoustic Scene Classification benchmark on XyloAudio 2—0
Novel Artistic Scene-Centric Datasets for Effective Transfer Learning in Fragrant Spaces—0
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification—0
Object based Scene Representations using Fisher Scores of Local Subspace Projections—0
Object-Level Context Modeling For Scene Classification with Context-CNN—0
One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning—0
On Frequency-Wise Normalizations for Better Recording Device Generalization in Audio Spectrogram Transformers—0
Online Domain-Incremental Learning Approach to Classify Acoustic Scenes in All Locations—0
Online Sensor Hallucination via Knowledge Distillation for Multimodal Image Classification—0
On The Effect Of Coding Artifacts On Acoustic Scene Classification—0
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence—0
Acoustic Scene Classification with Squeeze-Excitation Residual Networks—0
Open-Vocabulary Semantic Segmentation with Uncertainty Alignment for Robotic Scene Understanding in Indoor Building Environments—0
Optimal Transport Adapter Tuning for Bridging Modality Gaps in Few-Shot Remote Sensing Scene Classification—0
Orientational Pyramid Matching for Recognizing Indoor Scenes—0
Over-Parameterization and Generalization in Audio Classification—0
Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images—0
Per-Sample Kernel Adaptation for Visual Recognition and Grouping—0
Places: An Image Database for Deep Scene Understanding—0
Pretraining Billion-scale Geospatial Foundational Models on Frontier—0
QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design—0
Quantum-Enhanced Transformers for Robust Acoustic Scene Classification in IoT Environments—0
ReactioNet: Learning High-Order Facial Behavior from Universal Stimulus-Reaction by Dyadic Relation Reasoning—0
Recent advances and opportunities in scene classification of aerial images with deep models—0
Reflection Invariance: an important consideration of image orientation—0
Regularized Optimal Transport and the Rot Mover's Distance—0
Relational Teacher Student Learning with Neural Label Embedding for Device Adaptation in Acoustic Scene Classification—0
Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network—0
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities—0
Remote Sensing Image Scene Classification with Deep Neural Networks in JPEG 2000 Compressed Domain—0
Remote Sensing Image Scene Classification with Self-Supervised Paradigm under Limited Labeled Samples—0
Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art—0
Remote Sensing Scene Classification with Masked Image Modeling (MIM)—0
ResFeats: Residual Network Based Features for Image Classification—0
Residual Attention Graph Convolutional Network for Geometric 3D Scene Classification—0
Robust Acoustic Scene Classification in the Presence of Active Foreground Speech—0
Robust Feature Learning on Long-Duration Sounds for Acoustic Scene Classification—0
Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Context—0
Robust Remote Sensing Scene Classification with Multi-View Voting and Entropy Ranking—0
Rotated Feature Network for multi-orientation object detection—0
RSBNet: One-Shot Neural Architecture Search for A Backbone Network in Remote Sensing Image Recognition—0
RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification—0
SA-CNN: Dynamic Scene Classification using Convolutional Neural Networks—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