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 351–400 of 453 papers

TitleStatusHype
Multi-Label Scene Classification in Remote Sensing Benefits from Image Super-Resolution—0
Multi-Object Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models—0
Multiple instance dense connected convolution neural network for aerial image scene classification—0
Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning—0
Multi-Scale Weight Sharing Network for Image Recognition—0
Multi-Source Transformer Architectures for Audiovisual Scene Classification—0
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification—0
Nearest Neighbor Based Out-of-Distribution Detection in Remote Sensing Scene Classification—0
Neural Architecture Search on Acoustic Scene Classification—0
Neurobench: DCASE 2020 Acoustic Scene Classification benchmark on XyloAudio 2—0
Novel Artistic Scene-Centric Datasets for Effective Transfer Learning in Fragrant Spaces—0
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification—0
Object based Scene Representations using Fisher Scores of Local Subspace Projections—0
Object-Level Context Modeling For Scene Classification with Context-CNN—0
One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning—0
On Frequency-Wise Normalizations for Better Recording Device Generalization in Audio Spectrogram Transformers—0
Online Domain-Incremental Learning Approach to Classify Acoustic Scenes in All Locations—0
Online Sensor Hallucination via Knowledge Distillation for Multimodal Image Classification—0
On The Effect Of Coding Artifacts On Acoustic Scene Classification—0
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence—0
Acoustic Scene Classification with Squeeze-Excitation Residual Networks—0
Open-Vocabulary Semantic Segmentation with Uncertainty Alignment for Robotic Scene Understanding in Indoor Building Environments—0
Exploring Models and Data for Remote Sensing Image Caption GenerationCode0
A multi-device dataset for urban acoustic scene classificationCode0
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
Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene ClassificationCode0
Equivariant Multi-View NetworksCode0
Enhancing Scene Classification in Cloudy Image Scenarios: A Collaborative Transfer Method with Information Regulation Mechanism using Optical Cloud-Covered and SAR Remote Sensing ImagesCode0
Geolocation Estimation of Photos using a Hierarchical Model and Scene ClassificationCode0
DeepCorrect: Correcting DNN models against Image DistortionsCode0
Gradient-Guided Multiscale Focal Attention Network for Remote Sensing Scene ClassificationCode0
Efficient Similarity-based Passive Filter Pruning for Compressing CNNsCode0
Decentralised Semi-supervised Onboard Learning for Scene Classification in Low-Earth OrbitCode0
Data-Efficient Low-Complexity Acoustic Scene Classification in the DCASE 2024 ChallengeCode0
Spatial Information Considered Network for Scene ClassificationCode0
HexaConvCode0
All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene ClassificationCode0
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual DetectionCode0
Multi-level Cross-modal Feature Alignment via Contrastive Learning towards Zero-shot Classification of Remote Sensing Image ScenesCode0
Multimodal Remote Sensing Scene Classification Using VLMs and Dual-Cross Attention NetworksCode0
All grains, one scheme (AGOS): Learning multigrain instance representation for aerial scene classificationCode0
SpectNet : End-to-End Audio Signal Classification Using Learnable SpectrogramsCode0
A Remote Sensing Image Dataset for Cloud RemovalCode0
A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene ClassificationCode0
Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global PoolingCode0
Ground-truth or DAER: Selective Re-query of Secondary InformationCode0
Visual and audio scene classification for detecting discrepancies in video: a baseline method and experimental protocolCode0
City classification from multiple real-world sound scenesCode0
In-domain representation learning for remote sensingCode0
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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