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 251–300 of 453 papers

TitleStatusHype
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval—0
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report—0
Mini-batch graphs for robust image classification—0
Attentive max feature map and joint training for acoustic scene classification—0
An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network—0
Embedded Self-Distillation in Compact Multi-Branch Ensemble Network for Remote Sensing Scene Classification—0
SpecAugment++: A Hidden Space Data Augmentation Method for Acoustic Scene Classification—0
Environmental sound analysis with mixup based multitask learning and cross-task fusion—0
A Hierarchical Approach to Remote Sensing Scene Classification—0
Multi-Modal RGB-D Scene Recognition Across DomainsCode0
Inductive biases, pretraining and fine-tuning jointly account for brain responses to speech—0
Scene Retrieval for Contextual Visual Mapping—0
Deep Learning for Scene Classification: A Survey—0
HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks—0
Learning Visual Representation from Human Interactions—0
MGML: Multi-Granularity Multi-Level Feature Ensemble Network for Remote Sensing Scene Classification—0
Exploiting Context for Robustness to Label Noise in Active Learning—0
Remote Sensing Image Scene Classification with Self-Supervised Paradigm under Limited Labeled Samples—0
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
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
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
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
Remote Sensing Image Scene Classification with Deep Neural Networks in JPEG 2000 Compressed Domain—0
Acoustic scene classification in DCASE 2020 Challenge: generalization across devices and low complexity solutions—0
ACGAN-based Data Augmentation Integrated with Long-term Scalogram for Acoustic Scene Classification—0
Spatial Information Considered Network for Scene ClassificationCode0
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities—0
Unsupervised Domain Adaptation for Acoustic Scene Classification Using Band-Wise Statistics Matching—0
Acoustic Scene Classification using Audio Tagging—0
Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification—0
Acoustic Scene Classification with Squeeze-Excitation Residual Networks—0
A multiple-instance densely-connected ConvNet for aerial scene classificationCode0
DEEVA: A Deep Learning and IoT Based Computer Vision System to Address Safety and Security of Production Sites in Energy Industry—0
Acoustic Scene Classification Using Bilinear Pooling on Time-liked and Frequency-liked Convolution Neural Network—0
Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification—0
BigEarthNet Dataset with A New Class-Nomenclature for Remote Sensing Image Understanding—0
Contextual Sense Making by Fusing Scene Classification, Detections, and Events in Full Motion Video—0
Multi-Scale Weight Sharing Network for Image Recognition—0
Neural Architecture Search on Acoustic Scene Classification—0
Show:102550
← PrevPage 6 of 10Next →
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