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 426–450 of 453 papers

TitleStatusHype
Multi-Object Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models—0
SA-CNN: Dynamic Scene Classification using Convolutional Neural Networks—0
Dense v.s. Sparse: A Comparative Study of Sampling Analysis in Scene Classification of High-Resolution Remote Sensing Imagery—0
Dynamic texture and scene classification by transferring deep image features—0
Object Detectors Emerge in Deep Scene CNNsCode0
Acoustic Scene Classification—0
High Order Structure Descriptors for Scene Images—0
Learning Important Spatial Pooling Regions for Scene Classification—0
Orientational Pyramid Matching for Recognizing Indoor Scenes—0
Learning Receptive Fields for Pooling from Tensors of Feature Response—0
Hierarchical Feature Hashing for Fast Dimensionality Reduction—0
Scalable Multitask Representation Learning for Scene Classification—0
What are You Talking About? Text-to-Image Coreference—0
Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition—0
ConceptVision: A Flexible Scene Classification Framework—0
Constrained Parametric Proposals and Pooling Methods for Semantic Segmentation in RGB-D Images—0
Mid-level Visual Element Discovery as Discriminative Mode Seeking—0
Automatic Monitoring of Activities of Daily Living based on Real-life Acoustic Sensor Data: a preliminary study—0
Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images—0
Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis—0
Blocks That Shout: Distinctive Parts for Scene Classification—0
Sparse Output Coding for Large-Scale Visual Recognition—0
Learning Class-to-Image Distance with Object Matchings—0
BFO Meets HOG: Feature Extraction Based on Histograms of Oriented p.d.f. Gradients for Image Classification—0
Understanding Indoor Scenes Using 3D Geometric Phrases—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