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 151–200 of 453 papers

TitleStatusHype
Local semantic enhanced convnet for aerial scene recognitionCode0
Creating a Good Teacher for Knowledge Distillation in Acoustic Scene Classification—0
Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification—0
A Squeeze-and-Excitation and Transformer based Cross-task System for Environmental Sound Recognition—0
Convex Class Model on Symmetric Positive Definite Manifolds—0
A Spatial Layout and Scale Invariant Feature Representation for Indoor Scene Classification—0
A Hybrid Approach with Multi-channel I-Vectors and Convolutional Neural Networks for Acoustic Scene Classification—0
Contextual Sense Making by Fusing Scene Classification, Detections, and Events in Full Motion Video—0
Constrained Parametric Proposals and Pooling Methods for Semantic Segmentation in RGB-D Images—0
ASK: Adaptively Selecting Key Local Features for RGB-D Scene Recognition—0
ConceptVision: A Flexible Scene Classification Framework—0
A high-resolution canopy height model of the Earth—0
Acoustic Scene Classification using Audio Tagging—0
Compressing audio CNNs with graph centrality based filter pruning—0
Artistic Object Recognition by Unsupervised Style Adaptation—0
Complex Scene Classification of PolSAR Imagery based on a Self-paced Learning Approach—0
A Hierarchical Approach to Remote Sensing Scene Classification—0
Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification—0
Collaborative Layer-wise Discriminative Learning in Deep Neural Networks—0
A punishment voting algorithm based on super categories construction for acoustic 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
Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling—0
Acoustic scene classification in DCASE 2020 Challenge: generalization across devices and low complexity solutions—0
A Comparative Study on Approaches to Acoustic Scene Classification using CNNs—0
CNNs-based Acoustic Scene Classification using Multi-Spectrogram Fusion and Label Expansions—0
Aerial Flood Scene Classification Using Fine-Tuned Attention-based Architecture for Flood-Prone Countries in South Asia—0
Improving Acoustic Scene Classification with City Features—0
Characterizing dynamically varying acoustic scenes from egocentric audio recordings in workplace setting—0
Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture—0
Adversarial Training For Sketch Retrieval—0
Change-point Detection Methods for Body-Worn Video—0
CELESTIAL: Classification Enabled via Labelless Embeddings with Self-supervised Telescope Image Analysis Learning—0
Exploiting Object-based and Segmentation-based Semantic Features for Deep Learning-based Indoor Scene Classification—0
An evaluation of data augmentation methods for sound scene geotagging—0
Adversarial Domain Adaptation with Paired Examples for Acoustic Scene Classification on Different Recording Devices—0
Cascade Learning Localises Discriminant Features in Visual Scene Classification—0
CartoMark: a benchmark dataset for map pattern recognition and 1 map content retrieval with machine intelligence—0
An ensemble learning method for scene classification based on Hidden Markov Model image representation—0
Environmental sound analysis with mixup based multitask learning and cross-task fusion—0
EnTri: Ensemble Learning with Tri-level Representations for Explainable Scene Recognition—0
Enhancing Sound Texture in CNN-Based Acoustic Scene Classification—0
Enhancing Social Relation Inference with Concise Interaction Graph and Discriminative Scene Representation—0
Capturing scattered discriminative information using a deep architecture in acoustic scene classification—0
A Discriminative Representation of Convolutional Features for Indoor Scene Recognition—0
Evaluating the Adversarial Robustness of a Foveated Texture Transform Module in a CNN—0
Evaluation of the potential of Near Infrared Hyperspectral Imaging for monitoring the invasive brown marmorated stink bug—0
Exploiting Context for Robustness to Label Noise in Active Learning—0
Acoustic Scene Classification Based on a Large-margin Factorized CNN—0
A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification—0
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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