SOTAVerified

Multispectral Object Detection

Only using RGB cameras for automatic outdoor scene analysis is challenging when, for example, facing insufficient illumination or adverse weather. To improve the recognition reliability, multispectral systems add additional cameras (e.g. infra-red) and perform object detection from multispectral data. Although multispectral scene analysis with deep learning has be shown to have a great potential, there are still many open research questions and it has not been widely deployed in industrial contexts.

Papers

Showing 1–10 of 39 papers

TitleStatusHype
YOLOv11-RGBT: Towards a Comprehensive Single-Stage Multispectral Object Detection FrameworkCode4
Multispectral Detection Transformer with Infrared-Centric Sensor FusionCode0
Optimizing Multispectral Object Detection: A Bag of Tricks and Comprehensive Benchmarks—0
CAFF-DINO: Multi-spectral object detection transformers with cross-attention features fusion—0
Surveying You Only Look Once (YOLO) Multispectral Object Detection Advancements, Applications And Challenges—0
When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark DatasetCode2
RGB-T Object Detection via Group Shuffled Multi-receptive Attention and Multi-modal Supervision—0
Rethinking Early-Fusion Strategies for Improved Multispectral Object DetectionCode1
MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object DetectionCode1
UniRGB-IR: A Unified Framework for RGB-Infrared Semantic Tasks via Adapter TuningCode2
Show:102550
← PrevPage 1 of 4Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MMPedestronmAP5086.4—Unverified
2RGB-X Scene Adaptive CBAMmAP5086.16—Unverified
3CAFF-DINOmAP5085.5—Unverified
4RSDetmAP5083.9—Unverified
5CMXmAP5082.2—Unverified
6UniRGB-IRmAP5081.4—Unverified
7MiPamAP5081.3—Unverified
8CSSAmAP5079.2—Unverified
9CFTmAP5077.7—Unverified
10ProbEnmAP5075.5—Unverified
#ModelMetricClaimedVerifiedStatus
1FusionRPN+BFAll Miss Rate51.7—Unverified
2Halfway FusionAll Miss Rate49.18—Unverified
3IATDNN+IASSAll Miss Rate48.96—Unverified
4IAFR-CNNAll Miss Rate44.23—Unverified
5CIANAll Miss Rate35.53—Unverified
6AR-CNNAll Miss Rate34.95—Unverified
7MSDS-R-CNNAll Miss Rate34.15—Unverified
8MBNetAll Miss Rate31.87—Unverified
9TSFADetAll Miss Rate30.74—Unverified
10CMPDAll Miss Rate28.98—Unverified
#ModelMetricClaimedVerifiedStatus
1YOLOv3-4‐channel[email protected]:0.9564.4—Unverified
2YOLOv3-Ensemble[email protected]:0.9553.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CFTmAP5097.5—Unverified