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 201–250 of 453 papers

TitleStatusHype
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification—0
Binaural Signal Representations for Joint Sound Event Detection and Acoustic Scene Classification—0
Blocks That Shout: Distinctive Parts for Scene Classification—0
Capturing scattered discriminative information using a deep architecture in acoustic scene classification—0
CartoMark: a benchmark dataset for map pattern recognition and 1 map content retrieval with machine intelligence—0
Cascade Learning Localises Discriminant Features in Visual Scene Classification—0
CELESTIAL: Classification Enabled via Labelless Embeddings with Self-supervised Telescope Image Analysis Learning—0
Change-point Detection Methods for Body-Worn Video—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
Sample Dropout for Audio Scene Classification Using Multi-Scale Dense Connected Convolutional Neural Network—0
Satellite Image Scene Classification via ConvNet with Context Aggregation—0
Scalable Multitask Representation Learning for Scene Classification—0
Scenarios: A New Representation for Complex Scene Understanding—0
Scene Categorization from Contours: Medial Axis Based Salience Measures—0
Scene Classification in Indoor Environments for Robots using Context Based Word Embeddings—0
Scene Classification With Semantic Fisher Vectors—0
Scene Recognition with Objectness, Attribute and Category Learning—0
Scene Retrieval for Contextual Visual Mapping—0
SeasoNet: A Seasonal Scene Classification, segmentation and Retrieval dataset for satellite Imagery over Germany—0
Second-Order Constrained Parametric Proposals and Sequential Search-Based Structured Prediction for Semantic Segmentation in RGB-D Images—0
See More for Scene: Pairwise Consistency Learning for 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