:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhou, Zhen, Fan, Junfeng, Ma, Yunkai, Zhao, Sihan, Jing, Fengshui, Tan, Min
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2401.08174
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Linear Gaussian Bounding Box Representation and Ring-Shaped Rotated Convolution for Oriented Object Detection
by: Zhou, Zhen, et al.
Published: (2023)

EPRecon: An Efficient Framework for Real-Time Panoptic 3D Reconstruction from Monocular Video
by: Zhou, Zhen, et al.
Published: (2024)

Mesh-Pro: Asynchronous Advantage-guided Ranking Preference Optimization for Artist-style Quadrilateral Mesh Generation
by: Zhou, Zhen, et al.
Published: (2026)

Prompting Foundation Models for Zero-Shot Ship Instance Segmentation in SAR Imagery
by: Mansour, Islam, et al.
Published: (2026)

Boosting Box-supervised Instance Segmentation with Pseudo Depth
by: Yu, Xinyi, et al.
Published: (2024)

Prompt-Driven Lightweight Foundation Model for Instance Segmentation-Based Fault Detection in Freight Trains
by: Sun, Guodong, et al.
Published: (2026)

An Instance-Aware Prompting Framework for Training-free Camouflaged Object Segmentation
by: Yin, Chao, et al.
Published: (2025)

Backdoor Attacks on Prompt-Driven Video Segmentation Foundation Models
by: Zhang, Zongmin, et al.
Published: (2025)

BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance Segmentation
by: Lai, Jinxiang, et al.
Published: (2025)

Foundation Models for Amodal Video Instance Segmentation in Automated Driving
by: Breitenstein, Jasmin, et al.
Published: (2024)

Hierarchical Visual Prompt Learning for Continual Video Instance Segmentation
by: Dong, Jiahua, et al.
Published: (2025)

Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation
by: Boudjoghra, Mohamed El Amine, et al.
Published: (2024)

Robust Box Prompt based SAM for Medical Image Segmentation
by: Huang, Yuhao, et al.
Published: (2024)

PM-VIS: High-Performance Box-Supervised Video Instance Segmentation
by: Yang, Zhangjing, et al.
Published: (2024)

Semantic-aware SAM for Point-Prompted Instance Segmentation
by: Wei, Zhaoyang, et al.
Published: (2023)

ProMerge: Prompt and Merge for Unsupervised Instance Segmentation
by: Li, Dylan, et al.
Published: (2024)

Unleashing the Power of Prompt-driven Nucleus Instance Segmentation
by: Shui, Zhongyi, et al.
Published: (2023)

CellVTA: Enhancing Vision Foundation Models for Accurate Cell Segmentation and Classification
by: Yang, Yang, et al.
Published: (2025)

PlaneSAM: Multimodal Plane Instance Segmentation Using the Segment Anything Model
by: Deng, Zhongchen, et al.
Published: (2024)

Accurate Fine-grained Layout Analysis for the Historical Tibetan Document Based on the Instance Segmentation
by: Zhao, Penghai, et al.
Published: (2021)

Task-Oriented Data Synthesis and Control-Rectify Sampling for Remote Sensing Semantic Segmentation
by: Yang, Yunkai, et al.
Published: (2025)

BREPS: Bounding-Box Robustness Evaluation of Promptable Segmentation
by: Moskalenko, Andrey, et al.
Published: (2026)

NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and Classification
by: Tommasino, Cristian, et al.
Published: (2024)

Curriculum Prompting Foundation Models for Medical Image Segmentation
by: Zheng, Xiuqi, et al.
Published: (2024)

Sketchy Bounding-box Supervision for 3D Instance Segmentation
by: Deng, Qian, et al.
Published: (2025)

Augment Before Copy-Paste: Data and Memory Efficiency-Oriented Instance Segmentation Framework for Sport-scenes
by: Hsu, Chih-Chung, et al.
Published: (2024)

Towards Accurate Unified Anomaly Segmentation
by: Ma, Wenxin, et al.
Published: (2025)

Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation
by: Wei, Zhikai, et al.
Published: (2024)

Part-aware Prompted Segment Anything Model for Adaptive Segmentation
by: Zhao, Chenhui, et al.
Published: (2024)

Continual Alignment for SAM: Rethinking Foundation Models for Medical Image Segmentation in Continual Learning
by: Wang, Jiayi, et al.
Published: (2025)

Synthetic Instance Segmentation from Semantic Image Segmentation Masks
by: Shen, Yuchen, et al.
Published: (2023)

Fuse & Calibrate: A bi-directional Vision-Language Guided Framework for Referring Image Segmentation
by: Yan, Yichen, et al.
Published: (2024)

MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression
by: Ma, Siliang, et al.
Published: (2023)

Joint-Optimized Unsupervised Adversarial Domain Adaptation in Remote Sensing Segmentation with Prompted Foundation Model
by: Lyu, Shuchang, et al.
Published: (2024)

Adapting Segment Anything Model for Unseen Object Instance Segmentation
by: Cao, Rui, et al.
Published: (2024)

Trace3D: Consistent Segmentation Lifting via Gaussian Instance Tracing
by: Shen, Hongyu, et al.
Published: (2025)

BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance Segmentation
by: Lu, Jiahao, et al.
Published: (2024)

Enhanced BoxInst for Weakly Supervised Liver Tumor Instance Segmentation in CT Images
by: Shanshan Li, et al.
Published: (2025)

Calibration & Reconstruction: Deep Integrated Language for Referring Image Segmentation
by: Yan, Yichen, et al.
Published: (2024)

Audio-Visual Instance Segmentation
by: Guo, Ruohao, et al.
Published: (2023)