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 351–375 of 453 papers

TitleStatusHype
Attentive max feature map and joint training for acoustic scene classification—0
Audio Enhancement for Computer Audition -- An Iterative Training Paradigm Using Sample Importance—0
Audio Scene Classification with Deep Recurrent Neural Networks—0
Audio-visual scene classification: analysis of DCASE 2021 Challenge submissions—0
Audio-Visual Scene Classification Using A Transfer Learning Based Joint Optimization Strategy—0
Automated Vision-based Bridge Component Extraction Using Multiscale Convolutional Neural Networks—0
Automatic Monitoring of Activities of Daily Living based on Real-life Acoustic Sensor Data: a preliminary study—0
A Vision-Language Framework for Multispectral Scene Representation Using Language-Grounded Features—0
A Volumetric Saliency Guided Image Summarization for RGB-D Indoor Scene Classification—0
Bayesian adaptive learning to latent variables via Variational Bayes and Maximum a Posteriori—0
Beyond Equal-Length Snippets: How Long is Sufficient to Recognize an Audio Scene?—0
BFO Meets HOG: Feature Extraction Based on Histograms of Oriented p.d.f. Gradients for Image Classification—0
BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding—0
BigEarthNet Dataset with A New Class-Nomenclature for Remote Sensing Image Understanding—0
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval—0
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification—0
Binaural Signal Representations for Joint Sound Event Detection and Acoustic Scene Classification—0
Blocks That Shout: Distinctive Parts for Scene Classification—0
Capturing scattered discriminative information using a deep architecture in acoustic scene classification—0
CartoMark: a benchmark dataset for map pattern recognition and 1 map content retrieval with machine intelligence—0
Cascade Learning Localises Discriminant Features in Visual Scene Classification—0
CELESTIAL: Classification Enabled via Labelless Embeddings with Self-supervised Telescope Image Analysis Learning—0
Change-point Detection Methods for Body-Worn Video—0
Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture—0
Characterizing dynamically varying acoustic scenes from egocentric audio recordings in workplace setting—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