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Object Detection on FLIR (test)

2.39mAP50Le MuMo JEPA
0.1540.73451.3151.8955Aug 15, 2023Jan 20, 2024Jun 27, 2024Dec 3, 2024May 11, 2025Oct 17, 2025Mar 25, 2026

Evaluation results

MethodLinks
Le MuMo JEPASetting=Fine-tune2026.032.39—0.1288—————
Le MuMo JEPASetting=Waymo→FLIR2026.031.56—0.1022—————
MS-GDINOModel Variant=Large2025.120.878———0.5130.505——
DAMSDet2025.120.866———0.4810.493——
LGFDBackbone=CSPDarknet, Input Modality=Infrared-only2026.010.861————0.458——
MS-GDINOModel Variant=Tiny2025.120.86———0.4760.485——
MS-GDINOModel Variant=Base2025.120.859———0.4920.494——
SLGNetModality=RGB+IR, Trainable Params=12.1M2026.010.858———0.4230.451——
MS-YOLOWModel Variant=Large2025.120.853———0.4770.489——
IGTBackbone=Swin-T-Tiny, Input Modality=Infrared-visible2026.010.85————0.436——
YOLO-CIRBackbone=CSPDarknet, Input Modality=Infrared-only2026.010.849———————
Fusion-Mamba2025.120.849———0.4590.47——
YOLO-FusionBackbone=CSPDarknet, Input Modality=Infrared-visible2026.010.847———————
RSDetBackbone=ResNet50, Modality=RGB+IR2024.010.839————0.438——
RSDetModality=RGB+IR2026.010.839———0.4010.438——
GMDETR2025.120.839———0.4260.458——
COFNetModality=RGB+IR, Trainable Params=90.2M2026.010.836———0.4170.446——
MS-YOLOWModel Variant=Medium2025.120.835———0.4590.478——
OursData Type=IR+RGB, Backbone=CSPDarknet532026.010.832————0.446——
CAFF-DINOResolution=640x6402025.120.831———0.4230.456——
FD2-NetBackbone=CSPDarknet, Input Modality=Infrared-visible2026.010.829———————
RGBTInput Modality=Infrared-only2026.010.829———————
YOLO-ACNBackbone=CSPDarknet, Input Modality=Infrared-only2026.010.823———————
YOLOXCPCF2025.120.821———0.4120.446——
YOLOv5mBackbone=CSPDarknet, Input Modality=Infrared-only2026.010.819———————
CrossModalNetModality=RGB+IR, Trainable Params=92.8M2026.010.817———0.3910.433——
UniRGB-IRModality=RGB+IR, Trainable Params=8.9M2026.010.814———0.4020.441——
UniRGB-IRData Type=IR+RGB, Backbone=Transformer2026.010.814————0.441——
FFMData Type=IR+RGB, Backbone=CSPDarknet532026.010.814————0.423——
MFPTBackbone=ResNet50, Modality=RGB+IR2024.010.8———————
CrossFormerBackbone=ViT, Input Modality=Infrared-visible2026.010.793————0.421——
CrossFormerData Type=IR+RGB, Backbone=CSPDarknet532026.010.793————0.421——
Ours2023.080.7920.6690.890.81636.941.4——
ICAFusionBackbone=CSPDarkNet53, Modality=RGB+IR2024.010.792————0.414——
CSAABackbone=ResNet50, Modality=RGB+IR2024.010.792————0.413——
ICAFusionModality=RGB+IR, Trainable Params=120.0M2026.010.792———0.3690.414——
ICAFusionData Type=IR+RGB, Backbone=CSPDarknet532026.010.792————0.414——
CSAAData Type=IR+RGB, Backbone=ResNet502026.010.792————0.413——
ICAFusion2025.120.792———0.3690.414——
CFTBackbone=CFB, Input Modality=Infrared-visible2026.010.787————0.402——
CFT2025.120.787———0.3550.402——
Ours*variant=asterisk and double-dagger notation2023.080.7860.6520.9020.80435.840.8——
CFTvariant=double-dagger notation2023.080.7830.6140.8950.84135.540.2——
SMG-YInput Modality=Infrared-only2026.010.77———————
YOLOFusionBackbone=CSPDarkNet53, Modality=RGB+IR2024.010.766————0.398——
TINetBackbone=ResNet50, Modality=RGB+IR2024.010.761————0.365——
FasterRCNNModality=IR, Trainable Params=68.5M2026.010.758———0.3160.376——
ProbEnBackbone=ResNet50, Modality=RGB+IR2024.010.755————0.379——
MultiMAE-MTSetting=Fine-tune2026.030.75—0.0583—————
GAFFBackbone=ResNet18, Modality=RGB+IR2024.010.746————0.374——
LGADetBackbone=ResNet50, Modality=RGB+IR2024.010.745———————
Faster R-CNNBackbone=ResNet50, Modality=IR2024.010.744————0.376——
Faster-RCNNBackbone=ResNet50, Input Modality=Infrared-only2026.010.744————0.376——
DDQ-DETRBackbone=ResNet50, Modality=IR2024.010.739————0.371——
DDQ-DETRModality=IR, Trainable Params=244.6M2026.010.739———0.3220.371——
BU-LTTvariant=dagger notation2023.080.7320.5740.8650.756————
CAPTM_3Backbone=ResNet50, Modality=RGB+IR2024.010.732———————
BU-ATTvariant=dagger notation2023.080.7310.5610.870.761————
GAFF2023.080.729———30.937.3——
GAFFBackbone=ResNet18, Input Modality=Infrared-visible2026.010.729————0.375——
YOLOV8Modality=IR, Trainable Params=76.7M2026.010.729———0.3180.383——
YOLOv8l-IRData Type=IR, Backbone=CSPDarknet532026.010.729————0.383——
GAFFBackbone=VGG16, Modality=RGB+IR2024.010.727————0.373——
GAFFBackbone=VGG16, Input Modality=Infrared-visible2026.010.727————0.373——
CFR2023.080.7240.57770.84910.7449————
CFR_3Backbone=VGG16, Modality=RGB+IR2024.010.724———————
ICAFusionBackbone=ResNet50, Modality=RGB+IR2024.010.72———————
ImageBindSetting=Waymo→FLIR2026.030.72—0.0549—————
Halfway fusionBackbone=VGG16, Modality=RGB+IR2024.010.715————0.358——
Cascade R-CNNBackbone=ResNet50, Modality=IR2024.010.71————0.347——
ImageBindSetting=Fine-tune2026.030.71—0.0554—————
CMPDBackbone=ResNet50, Modality=RGB+IR2024.010.694———————
MultiMAE-MTSetting=Waymo→FLIR2026.030.69—0.0526—————
YOLOV8Modality=RGB, Trainable Params=76.7M2026.010.663———0.2420.282——
YOLOv8l-RGBData Type=RGB, Backbone=CSPDarknet532026.010.663————0.282——
RetinaNetBackbone=ResNet50, Modality=IR2024.010.661————0.315——
RetinaNetModality=IR, Trainable Params=43.0M2026.010.661———0.2530.315——
SSDBackbone=VGG16, Modality=IR2024.010.655————0.296——
SSDBackbone=VGG16, Input Modality=Infrared-only2026.010.655————0.296——
Faster R-CNNBackbone=ResNet50, Modality=RGB2024.010.649————0.289——
DDQ-DETRBackbone=ResNet50, Modality=RGB2024.010.649————0.309——
DDQ-DETRModality=RGB, Trainable Params=244.6M2026.010.649———0.2450.309——
MultiMAE-SSSetting=Fine-tune2026.030.63—0.0481—————
FasterRCNNModality=RGB, Trainable Params=68.5M2026.010.622———0.2120.277——
MMTOD-UNIT2023.080.6150.49430.70720.6447————
MMTOD-CG2023.080.6140.50260.70630.6331————
Cascade R-CNNBackbone=ResNet50, Modality=RGB2024.010.56————0.247——
MultiMAE-SSSetting=Waymo→FLIR2026.030.54—0.0421—————
SSDBackbone=VGG16, Modality=RGB2024.010.522————0.218——
RetinaNetBackbone=ResNet50, Modality=RGB2024.010.512————0.219——
RetinaNetModality=RGB, Trainable Params=43.0M2026.010.512———0.1520.219——
MultiMAE-SSSetting=Scratch2026.030.51—0.0386—————
Le MuMo JEPASetting=Scratch2026.030.41—0.03—————
ImageBindSetting=Scratch2026.030.24—0.019—————
FALCON-SFOD2025.12—0.4370.6990.619—0.585——
FALCON-SFOD2025.12—0.1380.2190.271—0.209——
ROI-PackingNetwork=Faster RCNN-X101-FPN [9], Image Type=Infrared, Size (%)=1002025.12——————-10.860.6
ROI-PackingNetwork=Faster RCNN-X101-FPN [9], Image Type=Infrared, Size (%)=752025.12——————-18.12.17
ROI-PackingNetwork=Faster RCNN-X101-FPN [9], Image Type=Infrared, Size (%)=502025.12——————-18.772.52
ROI-PackingNetwork=Faster RCNN-X101-FPN [9], Image Type=Infrared, Size (%)=252025.12——————-7.210.47