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 126–150 of 453 papers

TitleStatusHype
Creating a Good Teacher for Knowledge Distillation in Acoustic Scene Classification—0
An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network—0
Binaural Signal Representations for Joint Sound Event Detection and Acoustic Scene Classification—0
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification—0
An Acoustic Segment Model Based Segment Unit Selection Approach to Acoustic Scene Classification with Partial Utterances—0
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval—0
BigEarthNet Dataset with A New Class-Nomenclature for Remote Sensing Image Understanding—0
A Multi-Stage Duplex Fusion ConvNet for Aerial Scene Classification—0
A Deep Learning-based Global and Segmentation-based Semantic Feature Fusion Approach for Indoor Scene Classification—0
L_2BN: Enhancing Batch Normalization by Equalizing the L_2 Norms of Features—0
BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding—0
BFO Meets HOG: Feature Extraction Based on Histograms of Oriented p.d.f. Gradients for Image Classification—0
Energy efficiency analysis of Spiking Neural Networks for space applications—0
Beyond Equal-Length Snippets: How Long is Sufficient to Recognize an Audio Scene?—0
Bayesian adaptive learning to latent variables via Variational Bayes and Maximum a Posteriori—0
A Deep Incremental Boltzmann Machine for Modeling Context in Robots—0
Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition—0
A Volumetric Saliency Guided Image Summarization for RGB-D Indoor Scene Classification—0
A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification—0
A Vision-Language Framework for Multispectral Scene Representation Using Language-Grounded Features—0
Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification—0
Acoustic Scene Classification—0
Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems—0
Automatic Monitoring of Activities of Daily Living based on Real-life Acoustic Sensor Data: a preliminary study—0
Automated Vision-based Bridge Component Extraction Using Multiscale Convolutional Neural Networks—0
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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