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 201–225 of 453 papers

TitleStatusHype
CELESTIAL: Classification Enabled via Labelless Embeddings with Self-supervised Telescope Image Analysis Learning—0
Exploring the significance of using perceptually relevant image decolorization method for scene classification—0
Fairness and underspecification in acoustic scene classification: The case for disaggregated evaluations—0
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report—0
Feature Transformation for Cross-domain Few-shot Remote Sensing Scene Classification—0
FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models—0
Few-Shot Learning with Per-Sample Rich Supervision—0
Audio-visual scene classification: analysis of DCASE 2021 Challenge submissions—0
FlexiMo: A Flexible Remote Sensing Foundation Model—0
Characterizing dynamically varying acoustic scenes from egocentric audio recordings in workplace setting—0
A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification—0
1-D CNN based Acoustic Scene Classification via Reducing Layer-wise Dimensionality—0
Audio Scene Classification with Deep Recurrent Neural Networks—0
Deep Learning for Scene Classification: A Survey—0
Acoustic Scene Classification Using Fusion of Attentive Convolutional Neural Networks for DCASE2019 Challenge—0
Deep Learning Based Open Set Acoustic Scene Classification—0
Aerial Flood Scene Classification Using Fine-Tuned Attention-based Architecture for Flood-Prone Countries in South Asia—0
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification—0
Impact of Acoustic Event Tagging on Scene Classification in a Multi-Task Learning Framework—0
Health Monitoring of Industrial machines using Scene-Aware Threshold Selection—0
Deep Discriminative Representation Learning with Attention Map for Scene Classification—0
Heterogeneous Multi-task Metric Learning across Multiple Domains—0
HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks—0
Hierarchical Feature Hashing for Fast Dimensionality Reduction—0
Deep Discriminative Model for Video Classification—0
Show:102550
← PrevPage 9 of 19Next →
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