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 251–275 of 453 papers

TitleStatusHype
MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene UnderstandingCode1
A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification—0
RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification—0
2D-3D Geometric Fusion Network using Multi-Neighbourhood Graph Convolution for RGB-D Indoor Scene Classification—0
DCASENET: A joint pre-trained deep neural network for detecting and classifying acoustic scenes and eventsCode1
Deriving Visual Semantics from Spatial Context: An Adaptation of LSA and Word2Vec to generate Object and Scene Embeddings from Images—0
Ground-truth or DAER: Selective Re-query of Secondary InformationCode0
Understanding the Role of Individual Units in a Deep Neural NetworkCode1
Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle DecisionsCode1
CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile ApplicationCode1
Deep Learning Based Open Set Acoustic Scene Classification—0
AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification—0
An Acoustic Segment Model Based Segment Unit Selection Approach to Acoustic Scene Classification with Partial Utterances—0
Relational Teacher Student Learning with Neural Label Embedding for Device Adaptation in Acoustic Scene Classification—0
DD-CNN: Depthwise Disout Convolutional Neural Network for Low-complexity Acoustic Scene Classification—0
Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data AugmentationCode1
Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines—0
Capturing scattered discriminative information using a deep architecture in acoustic scene classification—0
Learning Speech Representations from Raw Audio by Joint Audiovisual Self-Supervision—0
Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture—0
A Transformer-based Audio Captioning Model with Keyword Estimation—0
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AIDCode1
Remote Sensing Image Scene Classification with Deep Neural Networks in JPEG 2000 Compressed Domain—0
Emergent Properties of Foveated Perceptual SystemsCode1
Multi-Temporal Scene Classification and Scene Change Detection with Correlation based FusionCode1
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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