:: Library Catalog

Azala

Gorde:

Xehetasun bibliografikoak
Egile Nagusiak:	Peng, Peng, Li, Yong-Jie
Formatua:	Preprint
Argitaratua:	2020
Gaiak:	Computer Vision and Pattern Recognition
Sarrera elektronikoa:	https://arxiv.org/abs/2012.00437
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Antzeko izenburuak

Salient Object Detection in RGB-D Videos
nork: Mou, Ao, et al.
Argitaratua: (2023)

STENet: Superpixel Token Enhancing Network for RGB-D Salient Object Detection
nork: Chen, Jianlin, et al.
Argitaratua: (2026)

SAMSOD: Rethinking SAM Optimization for RGB-T Salient Object Detection
nork: Liu, Zhengyi, et al.
Argitaratua: (2025)

Deep Fourier-embedded Network for RGB and Thermal Salient Object Detection
nork: Lyu, Pengfei, et al.
Argitaratua: (2024)

Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection
nork: Tang, Hao, et al.
Argitaratua: (2024)

Dual Mutual Learning Network with Global-local Awareness for RGB-D Salient Object Detection
nork: Yi, Kang, et al.
Argitaratua: (2025)

RSONet: Region-guided Selective Optimization Network for RGB-T Salient Object Detection
nork: Wan, Bin, et al.
Argitaratua: (2026)

Point-aware Interaction and CNN-induced Refinement Network for RGB-D Salient Object Detection
nork: Cong, Runmin, et al.
Argitaratua: (2023)

Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks
nork: Fan, Deng-Ping, et al.
Argitaratua: (2019)

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective
nork: Duan, Songsong, et al.
Argitaratua: (2025)

A Saliency Enhanced Feature Fusion based multiscale RGB-D Salient Object Detection Network
nork: Huang, Rui, et al.
Argitaratua: (2024)

Alignment-Free RGB-T Salient Object Detection: A Large-scale Dataset and Progressive Correlation Network
nork: Wang, Kunpeng, et al.
Argitaratua: (2024)

Unleashing the Power of Motion and Depth: A Selective Fusion Strategy for RGB-D Video Salient Object Detection
nork: He, Jiahao, et al.
Argitaratua: (2025)

SSNet: Saliency Prior and State Space Model-based Network for Salient Object Detection in RGB-D Images
nork: Panda, Gargi, et al.
Argitaratua: (2025)

MambaSOD: Dual Mamba-Driven Cross-Modal Fusion Network for RGB-D Salient Object Detection
nork: Zhan, Yue, et al.
Argitaratua: (2024)

HyPSAM: Hybrid Prompt-driven Segment Anything Model for RGB-Thermal Salient Object Detection
nork: Hou, Ruichao, et al.
Argitaratua: (2025)

ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection
nork: Lin, Junhao, et al.
Argitaratua: (2024)

KAN-SAM: Kolmogorov-Arnold Network Guided Segment Anything Model for RGB-T Salient Object Detection
nork: Li, Xingyuan, et al.
Argitaratua: (2025)

Breaking Alignment Barriers: TPS-Driven Semantic Correlation Learning for Alignment-Free RGB-T Salient Object Detection
nork: Hu, Lupiao, et al.
Argitaratua: (2025)

SAM-DAQ: Segment Anything Model with Depth-guided Adaptive Queries for RGB-D Video Salient Object Detection
nork: Lin, Jia, et al.
Argitaratua: (2025)

LEAF-Mamba: Local Emphatic and Adaptive Fusion State Space Model for RGB-D Salient Object Detection
nork: Wu, Lanhu, et al.
Argitaratua: (2025)

M$^4$-SAM: Multi-Modal Mixture-of-Experts with Memory-Augmented SAM for RGB-D Video Salient Object Detection
nork: Liu, Jiyuan, et al.
Argitaratua: (2026)

Seamless Detection: Unifying Salient Object Detection and Camouflaged Object Detection
nork: Liu, Yi, et al.
Argitaratua: (2024)

Unified Unsupervised Salient Object Detection via Knowledge Transfer
nork: Yuan, Yao, et al.
Argitaratua: (2024)

Modality-Specific Hierarchical Enhancement for RGB-D Camouflaged Object Detection
nork: Niu, Yuzhen, et al.
Argitaratua: (2026)

3D-UGCN: A Unified Graph Convolutional Network for Robust 3D Human Pose Estimation from Monocular RGB Images
nork: Zhao, Jie, et al.
Argitaratua: (2024)

CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance Segmentation
nork: Pei, Jialun, et al.
Argitaratua: (2023)

Re-thinking Co-Salient Object Detection
nork: Fan, Deng-Ping, et al.
Argitaratua: (2020)

Discriminative Consensus Mining with A Thousand Groups for More Accurate Co-Salient Object Detection
nork: Zheng, Peng
Argitaratua: (2024)

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes
nork: Fischer, Tom, et al.
Argitaratua: (2025)

Beyond RGB: Adaptive Parallel Processing for RAW Object Detection
nork: Gamrian, Shani, et al.
Argitaratua: (2025)

Unified-modal Salient Object Detection via Adaptive Prompt Learning
nork: Wang, Kunpeng, et al.
Argitaratua: (2023)

RGB-D Indiscernible Object Counting in Underwater Scenes
nork: Sun, Guolei, et al.
Argitaratua: (2023)

Unifying Global-Local Representations in Salient Object Detection with Transformer
nork: Ren, Sucheng, et al.
Argitaratua: (2021)

Pluralistic Salient Object Detection
nork: Feng, Xuelu, et al.
Argitaratua: (2024)

Focus Through Motion: RGB-Event Collaborative Token Sparsification for Efficient Object Detection
nork: Yang, Nan, et al.
Argitaratua: (2025)

Enhancing Traffic Object Detection in Variable Illumination with RGB-Event Fusion
nork: Liu, Zhanwen, et al.
Argitaratua: (2023)

RBF Weighted Hyper-Involution for RGB-D Object Detection
nork: Rahman, Mehfuz A, et al.
Argitaratua: (2023)

Visual Consensus Prompting for Co-Salient Object Detection
nork: Wang, Jie, et al.
Argitaratua: (2025)

Intent3D: 3D Object Detection in RGB-D Scans Based on Human Intention
nork: Kang, Weitai, et al.
Argitaratua: (2024)