:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Yuanbo, Shu, Dule, Chen, Yanying, Klenk, Matt, Ritchie, Daniel
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2602.12561
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning From Design Procedure To Generate CAD Programs for Data Augmentation
by: Chen, Yan-Ying, et al.
Published: (2026)

LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation
by: Nehme, Ghadi, et al.
Published: (2025)

GeoCAD: Local Geometry-Controllable CAD Generation with Large Language Models
by: Zhang, Zhanwei, et al.
Published: (2025)

Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation
by: Wang, Tao, et al.
Published: (2024)

Zero-to-CAD: Agentic Synthesis of Interpretable CAD Programs at Million-Scale Without Real Data
by: Ataei, Mohammadmehdi, et al.
Published: (2026)

ScribbleVS: Scribble-Supervised Medical Image Segmentation via Dynamic Competitive Pseudo Label Selection
by: Wang, Tao, et al.
Published: (2024)

Learning to Place Objects with Programs and Iterative Self Training
by: Chang, Adrian, et al.
Published: (2025)

ControlEvents: Controllable Synthesis of Event Camera Datawith Foundational Prior from Image Diffusion Models
by: Hu, Yixuan, et al.
Published: (2025)

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

ReCAD: Reinforcement Learning Enhanced Parametric CAD Model Generation with Vision-Language Models
by: Li, Jiahao, et al.
Published: (2025)

CADFS: A Big CAD Program Dataset and Framework for Computer-Aided Design with Large Language Models
by: Pyatov, Vladislav, et al.
Published: (2026)

Domain Adaptation Using Pseudo Labels
by: Chhabra, Sachin, et al.
Published: (2024)

From Few to More: Scribble-based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels
by: Wang, Zhisong, et al.
Published: (2024)

CADReview: Automatically Reviewing CAD Programs with Error Detection and Correction
by: Chen, Jiali, et al.
Published: (2025)

Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
by: Li, Hanxi, et al.
Published: (2024)

CAD-Llama: Leveraging Large Language Models for Computer-Aided Design Parametric 3D Model Generation
by: Li, Jiahao, et al.
Published: (2025)

Multi-Paradigm Collaborative Adversarial Attack Against Multi-Modal Large Language Models
by: Li, Yuanbo, et al.
Published: (2026)

FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models
by: Zhang, Zhanwei, et al.
Published: (2024)

Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
by: Wang, Haochen, et al.
Published: (2023)

Smooth Pseudo-Labeling
by: Karaliolios, Nikolaos, et al.
Published: (2024)

Expectation Maximization Pseudo Labels
by: Xu, Moucheng, et al.
Published: (2023)

PHT-CAD: Efficient CAD Parametric Primitive Analysis with Progressive Hierarchical Tuning
by: Niu, Ke, et al.
Published: (2025)

CADTalk: An Algorithm and Benchmark for Semantic Commenting of CAD Programs
by: Yuan, Haocheng, et al.
Published: (2023)

Foundation Model-guided Iteratively Prompting and Pseudo-Labeling for Partially Labeled Medical Image Segmentation
by: Zhao, Qiaochu, et al.
Published: (2026)

RSHallu: Dual-Mode Hallucination Evaluation for Remote-Sensing Multimodal Large Language Models with Domain-Tailored Mitigation
by: Zhou, Zihui, et al.
Published: (2026)

Parametric-ControlNet: Multimodal Control in Foundation Models for Precise Engineering Design Synthesis
by: Zhou, Rui, et al.
Published: (2024)

Pruning All-Rounder: Rethinking and Improving Inference Efficiency for Large Vision Language Models
by: Suo, Wei, et al.
Published: (2024)

Full-Stage Pseudo Label Quality Enhancement for Weakly-supervised Temporal Action Localization
by: Feng, Qianhan, et al.
Published: (2024)

Stylish and Functional: Guided Interpolation Subject to Physical Constraints
by: Chen, Yan-Ying, et al.
Published: (2024)

Self-Supervised Place Recognition by Refining Temporal and Featural Pseudo Labels from Panoramic Data
by: Chen, Chao, et al.
Published: (2022)

Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective
by: Li, Wangkai, et al.
Published: (2025)

Unpaired Photo-realistic Image Deraining with Energy-informed Diffusion Model
by: Wen, Yuanbo, et al.
Published: (2024)

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models
by: Fu, Mingyu, et al.
Published: (2025)

MedFact-R1: Towards Factual Medical Reasoning via Pseudo-Label Augmentation
by: Li, Gengliang, et al.
Published: (2025)

SSFlowNet: Semi-supervised Scene Flow Estimation On Point Clouds With Pseudo Label
by: Chen, Jingze, et al.
Published: (2023)

Img2CAD: Conditioned 3D CAD Model Generation from Single Image with Structured Visual Geometry
by: Chen, Tianrun, et al.
Published: (2024)

CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing
by: Yuan, Yu, et al.
Published: (2025)

CReFT-CAD: Boosting Orthographic Projection Reasoning for CAD via Reinforcement Fine-Tuning
by: Niu, Ke, et al.
Published: (2025)

VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object Detection via Vision-Language Model
by: Kim, Junsu, et al.
Published: (2024)

VLM-CPL: Consensus Pseudo Labels from Vision-Language Models for Annotation-Free Pathological Image Classification
by: Zhong, Lanfeng, et al.
Published: (2024)