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 101–125 of 453 papers

TitleStatusHype
Adversarial Domain Adaptation with Paired Examples for Acoustic Scene Classification on Different Recording Devices—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
A Discriminative Representation of Convolutional Features for Indoor Scene Recognition—0
Acoustic Scene Classification Based on a Large-margin Factorized CNN—0
Deep Clustering of Remote Sensing Scenes through Heterogeneous Transfer Learning—0
A Discriminative Learned CNN Embedding for Remote Sensing Image Scene Classification—0
Acoustic Scene Classification: A Competition Review—0
Blocks That Shout: Distinctive Parts for Scene Classification—0
CNNs for Surveillance Footage Scene Classification—0
A probabilistic patch based image representation using Conditional Random Field model for image classification—0
Collaborative Layer-wise Discriminative Learning in Deep Neural Networks—0
Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification—0
A Hierarchical Approach to Remote Sensing Scene Classification—0
Complex Scene Classification of PolSAR Imagery based on a Self-paced Learning Approach—0
Artistic Object Recognition by Unsupervised Style Adaptation—0
Compressing audio CNNs with graph centrality based filter pruning—0
ConceptVision: A Flexible Scene Classification Framework—0
An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network—0
Constrained Parametric Proposals and Pooling Methods for Semantic Segmentation in RGB-D Images—0
Contextual Sense Making by Fusing Scene Classification, Detections, and Events in Full Motion Video—0
Convex Class Model on Symmetric Positive Definite Manifolds—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
Show:102550
← PrevPage 5 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