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 376400 of 453 papers

TitleStatusHype
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
A multiple-instance densely-connected ConvNet for aerial scene classificationCode0
Gradient-Guided Multiscale Focal Attention Network for Remote Sensing Scene ClassificationCode0
Efficient Similarity-based Passive Filter Pruning for Compressing CNNsCode0
DeepCorrect: Correcting DNN models against Image DistortionsCode0
Decentralised Semi-supervised Onboard Learning for Scene Classification in Low-Earth OrbitCode0
Data-Efficient Low-Complexity Acoustic Scene Classification in the DCASE 2024 ChallengeCode0
HexaConvCode0
Acoustic Scene Classification by Implicitly Identifying Distinct Sound EventsCode0
UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language ModelsCode0
Spatial Information Considered Network for Scene ClassificationCode0
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
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual DetectionCode0
A multi-device dataset for urban acoustic scene classificationCode0
All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene ClassificationCode0
SpectNet : End-to-End Audio Signal Classification Using Learnable SpectrogramsCode0
A Remote Sensing Image Dataset for Cloud RemovalCode0
Ground-truth or DAER: Selective Re-query of Secondary InformationCode0
Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global PoolingCode0
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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