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cs.CV2026

VCP-DCN: Beyond Visual Concealed Property via Depth Collaborative Network for Camouflaged Object Detection

Songsong Duan, Xi Yang, Nannan Wang

The paper proposes VCP-DCN, a depth collaborative network that aligns, interacts, and fuses RGB and depth features to improve camouflaged object detection in complex scenes.

cs.CV2025

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning

De Cheng, Yue Lu, Lingfeng He +4

Continual Learning (CL) aims to equip AI models with the ability to learn a sequence of tasks over time, without forgetting previously learned knowledge. Recently, State Space Mode…

cs.CV2025

Unleashing the Multi-View Fusion Potential: Noise Correction in VLM for Open-Vocabulary 3D Scene Understanding

Xingyilang Yin, Jiale Wang, Xi Yang +3

Recent open-vocabulary 3D scene understanding approaches mainly focus on training 3D networks through contrastive learning with point-text pairs or by distilling 2D features into 3…

cs.CV2025

Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization

Xi Yang, Songsong Duan, Nannan Wang +1

Weakly Supervised Object Localization (WSOL), which aims to localize objects by only using image-level labels, has attracted much attention because of its low annotation cost in re…

cs.CV2025

CSHNet: A Novel Information Asymmetric Image Translation Method

Xi Yang, Haoyuan Shi, Zihan Wang +2

Despite advancements in cross-domain image translation, challenges persist in asymmetric tasks such as SAR-to-Optical and Sketch-to-Instance conversions, which involve transforming…