SOTAVerified

Building Damage Assessment

Predicting building damage levels from earth observation data

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 32 papers

TitleStatusHype
Flood-DamageSense: Multimodal Mamba with Multitask Learning for Building Flood Damage Assessment using SAR Remote Sensing ImageryCode0
Now you see it, Now you don't: Damage Label Agreement in Drone & Satellite Post-Disaster ImageryCode0
Building-Guided Pseudo-Label Learning for Cross-Modal Building Damage MappingCode1
DamageCAT: A Deep Learning Transformer Framework for Typology-Based Post-Disaster Building Damage CategorizationCode0
Change3D: Revisiting Change Detection and Captioning from A Video Modeling PerspectiveCode2
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster responseCode3
Benchmarking Attention Mechanisms and Consistency Regularization Semi-Supervised Learning for Post-Flood Building Damage Assessment in Satellite Images—0
Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data—0
CRASAR-U-DROIDs: A Large Scale Benchmark Dataset for Building Alignment and Damage Assessment in Georectified sUAS Imagery—0
DeepDamageNet: A two-step deep-learning model for multi-disaster building damage segmentation and classification using satellite imagery—0
Show:102550
← PrevPage 1 of 4Next →

No leaderboard results yet.