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

Showing 101125 of 453 papers

TitleStatusHype
HexaConvCode0
A New Lightweight Hybrid Graph Convolutional Neural Network -- CNN Scheme for Scene Classification using Object Detection InferenceCode0
FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote SensingCode0
Generalized Scene Classification from Small-Scale Datasets with Multi-Task LearningCode0
Geolocation Estimation of Photos using a Hierarchical Model and Scene ClassificationCode0
In-domain representation learning for remote sensingCode0
Enhancing Scene Classification in Cloudy Image Scenarios: A Collaborative Transfer Method with Information Regulation Mechanism using Optical Cloud-Covered and SAR Remote Sensing ImagesCode0
Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global PoolingCode0
A multiple-instance densely-connected ConvNet for aerial scene classificationCode0
Equivariant Multi-View NetworksCode0
A multi-device dataset for urban acoustic scene classificationCode0
Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene ClassificationCode0
A Challenge to Build Neuro-Symbolic Video AgentsCode0
Efficient Similarity-based Passive Filter Pruning for Compressing CNNsCode0
All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene ClassificationCode0
A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge TransferCode0
Exploring Models and Data for Remote Sensing Image Caption GenerationCode0
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual DetectionCode0
Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNsCode0
All grains, one scheme (AGOS): Learning multigrain instance representation for aerial scene classificationCode0
Domain Information Control at Inference Time for Acoustic Scene ClassificationCode0
Semantic-Aware Scene RecognitionCode0
Deep Metric Learning-Based Feature Embedding for Hyperspectral Image ClassificationCode0
AudioLog: LLMs-Powered Long Audio Logging with Hybrid Token-Semantic Contrastive LearningCode0
Acoustic scene analysis with multi-head attention networksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1µ2Net+ (ViT-L/16)Accuracy (%)100Unverified
2AGOSAccuracy (%)99.88Unverified
3LSE-NetAccuracy (%)99.78Unverified
4ResNet50Accuracy (%)99.61Unverified
5MSMatchAccuracy (%)98.33Unverified
6MIDC-NetAccuracy (%)97.4Unverified
#ModelMetricClaimedVerifiedStatus
1iSQRT-COV-Net (ResNet-50)Top 1 Error43.68Unverified
2WaveMixTop 1 Error43.55Unverified