paper-with-me

Multispectral Object Detection 벤치마크

Multispectral Object Detection on FLIR

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mAP50

67.8 72.45 77.1 81.75 86.4 2020-09 2026-11 CFR_3 (VGG16) — 72.4 (2020-09-26) Halfway Fusion (VGG16) — 71.2 (2020-09-26) GAFF (ResNet18) — 72.9 (2021-01-03) GAFF (VGG16) — 72.7 (2021-01-03) CFT — 77.7 (2021-10-30) YOLOv5 (T) — 73.9 (2021-10-30) YOLOv5 (RGB) — 67.8 (2021-10-30) CMX — 82.2 (2022-03-09) CSSA — 79.2 (2023-06-18) ProbEn — 75.5 (2023-06-18) GAFF — 74.6 (2023-06-18) RGB-X Scene Adaptive CBAM — 86.16 (2023-10-30) RSDet — 83.9 (2024-01-19) UniRGB-IR — 81.4 (2024-04-26) MiPa — 81.3 (2024-04-29) MMPedestron — 86.4 (2024-07-14) CAFF-DINO — 85.5 (2024-09-27) CFR_3 (VGG16) — 72.4 (2020-09-26) GAFF (ResNet18) — 72.9 (2021-01-03) CFT — 77.7 (2021-10-30) CMX — 82.2 (2022-03-09) RGB-X Scene Adaptive CBAM — 86.16 (2023-10-30) MMPedestron — 86.4 (2024-07-14)
RankModel mAP50mAP PaperCodeYear
1 MMPedestron 86.4%– When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset BubblyYi/MMPedestron 2024
2 RGB-X Scene Adaptive CBAM 86.16%47.1% RGB-X Object Detection via Scene-Specific Fusion Modules dsriaditya999/rgbxfusion 2023
3 CAFF-DINO 85.5%50.5% CAFF-DINO: Multi-spectral object detection transformers with cross-attention features fusion 2024
4 RSDet 83.9%43.8% Removal then Selection: A Coarse-to-Fine Fusion Perspective for RGB-Infrared Object Detection Zhao-Tian-yi/RSDet 2024
5 CMX 82.2%– CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers huaaaliu/rgbx_semantic_segmentation 2022
6 UniRGB-IR 81.4%44.1% UniRGB-IR: A Unified Framework for RGB-Infrared Semantic Tasks via Adapter Tuning potsui99/unirgb-ir 2024
7 MiPa 81.3%44.8% MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object Detection heitorrapela/mipa 2024
8 CSSA 79.2%41.3% Multimodal Object Detection by Channel Switching and Spatial Attention 2023
9 CFT 77.7%– Cross-Modality Fusion Transformer for Multispectral Object Detection docf/multispectral-object-detection 2021
10 ProbEn 75.5%37.9% Multimodal Object Detection by Channel Switching and Spatial Attention 2023
11 GAFF 74.6%37.4% Multimodal Object Detection by Channel Switching and Spatial Attention 2023
12 YOLOv5 (T) 73.9%– Cross-Modality Fusion Transformer for Multispectral Object Detection docf/multispectral-object-detection 2021
13 GAFF (ResNet18) 72.9%– Guided Attentive Feature Fusion for Multispectral Pedestrian Detection ZHANGHeng19931123/GAFF 2021
14 GAFF (VGG16) 72.7%– Guided Attentive Feature Fusion for Multispectral Pedestrian Detection ZHANGHeng19931123/GAFF 2021
15 CFR_3 (VGG16) 72.4%– Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks ZHANGHeng19931123/CFR 2020
16 Halfway Fusion (VGG16) 71.2%– Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks ZHANGHeng19931123/CFR 2020
17 YOLOv5 (RGB) 67.8%– Cross-Modality Fusion Transformer for Multispectral Object Detection docf/multispectral-object-detection 2021
18 Halfway Fusion –35.8% Multimodal Object Detection by Channel Switching and Spatial Attention 2023
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