Copertina

Online Pseudo-Label Unified Object Detection for Multiple Datasets Training

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Tang, XiaoJun, Wang, Jingru, Shangguan, Zeyu, Tang, Darun, Liu, Yuyu
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection
di: Fu, Zehua, et al.
Pubblicazione: (2025)

A Tri-Modal Dataset and a Baseline System for Tracking Unmanned Aerial Vehicles
di: Xu, Tianyang, et al.
Pubblicazione: (2025)

Cross-domain Multi-modal Few-shot Object Detection via Rich Text
di: Shangguan, Zeyu, et al.
Pubblicazione: (2024)

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns
di: Kim, Min Je, et al.
Pubblicazione: (2025)

Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning
di: He, Yushen, et al.
Pubblicazione: (2026)

Efficiently Collecting Training Dataset for 2D Object Detection by Online Visual Feedback
di: Kiyokawa, Takuya, et al.
Pubblicazione: (2023)

Cross-domain Few-shot Object Detection with Multi-modal Textual Enrichment
di: Shangguan, Zeyu, et al.
Pubblicazione: (2025)

Learning Camouflaged Object Detection from Noisy Pseudo Label
di: Zhang, Jin, et al.
Pubblicazione: (2024)

Robust Object Detection with Pseudo Labels from VLMs using Per-Object Co-teaching
di: Bhaskar, Uday, et al.
Pubblicazione: (2025)

CoT-PL: Chain-of-Thought Pseudo-Labeling for Open-Vocabulary Object Detection
di: Choi, Hojun, et al.
Pubblicazione: (2025)

Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training
di: Ma, Fulong, et al.
Pubblicazione: (2023)

Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts
di: Lin, Zhiwei, et al.
Pubblicazione: (2024)

Density-Guided Dense Pseudo Label Selection For Semi-supervised Oriented Object Detection
di: Zhao, Tong, et al.
Pubblicazione: (2023)

Learning Adaptive Pseudo-Label Selection for Semi-Supervised 3D Object Detection
di: Kong, Taehun, et al.
Pubblicazione: (2025)

Prototype-Based Pseudo-Label Denoising for Source-Free Domain Adaptation in Remote Sensing Semantic Segmentation
di: Wang, Bin, et al.
Pubblicazione: (2025)

Visible-Thermal Multiple Object Tracking: Large-scale Video Dataset and Progressive Fusion Approach
di: Zhu, Yabin, et al.
Pubblicazione: (2024)

Online Reasoning Video Object Segmentation
di: Liu, Jinyuan, et al.
Pubblicazione: (2026)

Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection
di: Zhang, Zhanwei, et al.
Pubblicazione: (2024)

Unified Multimodal Coherent Field: Synchronous Semantic-Spatial-Vision Fusion for Brain Tumor Segmentation
di: Zhang, Mingda, et al.
Pubblicazione: (2025)

PLOT: Pseudo-Labeling via Video Object Tracking for Scalable Monocular 3D Object Detection
di: Lee, Seokyeong, et al.
Pubblicazione: (2025)

Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network
di: Fang, Chengyu, et al.
Pubblicazione: (2024)

MoRL: Reinforced Reasoning for Unified Motion Understanding and Generation
di: Wang, Hongpeng, et al.
Pubblicazione: (2026)

MUG: Pseudo Labeling Augmented Audio-Visual Mamba Network for Audio-Visual Video Parsing
di: Wang, Langyu, et al.
Pubblicazione: (2025)

Bridging Annotation Gaps: Transferring Labels to Align Object Detection Datasets
di: Kennerley, Mikhail, et al.
Pubblicazione: (2025)

3D-R1: Enhancing Reasoning in 3D VLMs for Unified Scene Understanding
di: Huang, Ting, et al.
Pubblicazione: (2025)

Open-Vocabulary Semantic Segmentation Network Integrating Object-Level Label and Scene-Level Semantic Features for Multimodal Remote Sensing Images
di: Dai, Jinkun, et al.
Pubblicazione: (2026)

UASTrack: A Unified Adaptive Selection Framework with Modality-Customization in Single Object Tracking
di: Wang, He, et al.
Pubblicazione: (2025)

Towards Micro-Action Recognition with Limited Annotations: An Asynchronous Pseudo Labeling and Training Approach
di: Zhang, Yan, et al.
Pubblicazione: (2025)

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

Sparse Generation: Making Pseudo Labels Sparse for Point Weakly Supervised Object Detection on Low Data Volume
di: Shang, Chuyang, et al.
Pubblicazione: (2024)

Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation
di: Howlader, Prantik, et al.
Pubblicazione: (2024)

RFAssigner: A Generic Label Assignment Strategy for Dense Object Detection
di: Guan, Ziqian, et al.
Pubblicazione: (2026)

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

Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection
di: Zhang, Jiacheng, et al.
Pubblicazione: (2024)

AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image Segmentation
di: Liu, Chenying, et al.
Pubblicazione: (2024)

SimPB++: Simultaneously Detecting 2D and 3D Objects from Multiple Cameras
di: Tang, Yingqi, et al.
Pubblicazione: (2026)

Pseudo-Labeling by Multi-Policy Viewfinder Network for Image Cropping
di: Pan, Zhiyu, et al.
Pubblicazione: (2024)

InstaGen: Enhancing Object Detection by Training on Synthetic Dataset
di: Feng, Chengjian, et al.
Pubblicazione: (2024)

UniMesh: Unifying 3D Mesh Understanding and Generation
di: Huang, Peng, et al.
Pubblicazione: (2026)

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