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SotA/Methodology/2D Object Detection/CAMO

2D Object Detection on CAMO

Metric: Weighted F-Measure (higher is better)

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#Model↕Weighted F-Measure▼AugmentationsPaperDate↕Code
1FOCUS0.904NoFOCUS: Towards Universal Foreground Segmentation2025-01-09Code
2BiRefNet0.89NoBilateral Reference for High-Resolution Dichotom...2024-01-07Code
3ZoomNeXt-PVTv2-B40.859NoZoomNeXt: A Unified Collaborative Pyramid Networ...2023-10-31Code
4ZoomNeXt-PVTv2-B50.857NoZoomNeXt: A Unified Collaborative Pyramid Networ...2023-10-31Code
5SAMFusion0.833Yes--Code
6EVPv20.786NoExplicit Visual Prompting for Universal Foregrou...2023-05-29Code
7EVPv10.777NoExplicit Visual Prompting for Low-Level Structur...2023-03-20Code
8ZoomNeXt-ResNet-500.774NoZoomNeXt: A Unified Collaborative Pyramid Networ...2023-10-31Code
9SINet-V20.743NoConcealed Object Detection2021-02-20Code
10MirrorNet-ResNeXt1520.719NoMirrorNet: Bio-Inspired Camouflaged Object Segme...2020-07-25-
11PraNet0.663YesPraNet: Parallel Reverse Attention Network for P...2020-06-13Code
12SINet0.606No--Code
13EGNet0.583Yes--Code
14BASNet0.413Yes--Code