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FOCUS: Towards Universal Foreground Segmentation

FOCUS: Towards Universal Foreground Segmentation

9 January 2025
Zuyao You
Lingyu Kong
Lingchen Meng
Zuxuan Wu
    VOS
ArXiv (abs)PDFHTML

Papers citing "FOCUS: Towards Universal Foreground Segmentation"

4 / 4 papers shown
Title
DRRNet: Macro-Micro Feature Fusion and Dual Reverse Refinement for Camouflaged Object Detection
DRRNet: Macro-Micro Feature Fusion and Dual Reverse Refinement for Camouflaged Object Detection
Jianlin Sun
Xiaolin Fang
Juwei Guan
Dongdong Gui
Teqi Wang
Tongxin Zhu
121
0
0
14 May 2025
Vision-Centric Representation-Efficient Fine-Tuning for Robust Universal Foreground Segmentation
Vision-Centric Representation-Efficient Fine-Tuning for Robust Universal Foreground Segmentation
Guoyi Zhang
Siyang Chen
Guangsheng Xu
Han Wang
Xiaohu Zhang
91
1
0
20 Apr 2025
On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs
On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs
Gesina Schwalbe
Georgii Mikriukov
Edgar Heinert
Stavros Gerolymatos
Mert Keser
Alois Knoll
Matthias Rottmann
Annika Mütze
111
0
0
11 Apr 2025
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Youssef Shoeb
Azarm Nowzad
Hanno Gottschalk
UQCV
238
2
0
04 Mar 2025
1