3 papers
cs.LG2026
SPACE: Source-free Proxy Anchor Concept Erasure for MLLMs
Zhijing Zhang, Jiaqi Ding, Qianshan Wei +5
As Multimodal Large Language Models (MLLMs) face growing privacy risks and regulatory constraints, machine unlearning (MU) has emerged as a crucial solution for removing sensitive…
cs.CV2025
DRRNet: Macro-Micro Feature Fusion and Dual Reverse Refinement for Camouflaged Object Detection
Jianlin Sun, Xiaolin Fang, Juwei Guan +3
The core challenge in Camouflage Object Detection (COD) lies in the indistinguishable similarity between targets and backgrounds in terms of color, texture, and shape. This causes…
cs.CV2025
Knowledge Rectification for Camouflaged Object Detection: Unlocking Insights from Low-Quality Data
Juwei Guan, Xiaolin Fang, Donghyun Kim +4
Low-quality data often suffer from insufficient image details, introducing an extra implicit aspect of camouflage that complicates camouflaged object detection (COD). Existing COD…