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 176–200 of 453 papers

TitleStatusHype
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-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
A Continual Development Methodology for Large-scale Multitask Dynamic ML SystemsCode0
Binaural Signal Representations for Joint Sound Event Detection and Acoustic Scene Classification—0
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
L_2BN: Enhancing Batch Normalization by Equalizing the L_2 Norms of Features—0
Crime scene classification from skeletal trajectory analysis in surveillance settings—0
QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design—0
Impact of Acoustic Event Tagging on Scene Classification in a Multi-Task Learning Framework—0
Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification—0
Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network—0
DCASE 2022: Comparative Analysis Of CNNs For Acoustic Scene Classification Under Low-Complexity Considerations—0
Low-complexity deep learning frameworks for acoustic scene classification—0
Low-complexity acoustic scene classification in DCASE 2022 Challenge—0
Self-supervised Learning of Audio Representations from Audio-Visual Data using Spatial Alignment—0
Learning Instance Representation Banks for Aerial Scene Classification—0
Pairwise Comparison Network for Remote Sensing Scene ClassificationCode0
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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