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 261270 of 453 papers

TitleStatusHype
Squeeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification0
Stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for Earth observation Level 2 product generation, Part 1 Theory0
Stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for Earth observation Level 2 product generation, Part 2 Validation0
Task 1A DCASE 2021: Acoustic Scene Classification with mismatch-devices using squeeze-excitation technique and low-complexity constraint0
Task-Oriented Image Transmission for Scene Classification in Unmanned Aerial Systems0
TbExplain: A Text-based Explanation Method for Scene Classification Models with the Statistical Prediction Correction0
The 2017 DAVIS Challenge on Video Object Segmentation0
TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning0
Towards Robust Domain Generalization in 2D Neural Audio Processing0
Towards Scalable and Generalizable Earth Observation Data Mining via Foundation Model Composition0
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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