How Important are Data Augmentations to Close the Domain Gap for Object Detection in Orbit?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ulmer, Maximilian, Klüpfel, Leonard, Durner, Maximilian, Triebel, Rudolph
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Conditional Latent Diffusion Models for Zero-Shot Instance Segmentation
by: Ulmer, Maximilian, et al.
Published: (2025)

RECALL: Rehearsal-free Continual Learning for Object Classification
by: Knauer, Markus, et al.
Published: (2022)

Closing the Visual Sim-to-Real Gap with Object-Composable NeRFs
by: Mishra, Nikhil, et al.
Published: (2024)

Evaluating Latent Generative Paradigms for High-Fidelity 3D Shape Completion from a Single Depth Image
by: Humt, Matthias, et al.
Published: (2025)

Making the Flow Glow -- Robot Perception under Severe Lighting Conditions using Normalizing Flow Gradients
by: Lind, Simon Kristoffersson, et al.
Published: (2024)

Investigating Domain Gaps for Indoor 3D Object Detection
by: Zhao, Zijing, et al.
Published: (2025)

A Safety-Adapted Loss for Pedestrian Detection in Automated Driving
by: Lyssenko, Maria, et al.
Published: (2024)

A Flow-based Credibility Metric for Safety-critical Pedestrian Detection
by: Lyssenko, Maria, et al.
Published: (2024)

Large Self-Supervised Models Bridge the Gap in Domain Adaptive Object Detection
by: Lavoie, Marc-Antoine, et al.
Published: (2025)

How to train your ViT for OOD Detection
by: Mueller, Maximilian, et al.
Published: (2024)

Simple In-place Data Augmentation for Surveillance Object Detection
by: Otgonbold, Munkh-Erdene, et al.
Published: (2024)

SemanticBridge - A Dataset for 3D Semantic Segmentation of Bridges and Domain Gap Analysis
by: Kellner, Maximilian, et al.
Published: (2025)

PACF: Prototype Augmented Compact Features for Improving Domain Adaptive Object Detection
by: Liu, Chenguang, et al.
Published: (2025)

Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object Detection
by: Kim, Yecheol, et al.
Published: (2024)

A Plug-and-Play Method for Rare Human-Object Interactions Detection by Bridging Domain Gap
by: Zhang, Lijun, et al.
Published: (2024)

Multi-Perspective Data Augmentation for Few-shot Object Detection
by: Vu, Anh-Khoa Nguyen, et al.
Published: (2025)

Exploring Inconsistent Knowledge Distillation for Object Detection with Data Augmentation
by: Liang, Jiawei, et al.
Published: (2022)

How to Augment for Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models?
by: Uzun, Engin, et al.
Published: (2024)

Scene-Aware Location Modeling for Data Augmentation in Automotive Object Detection
by: Petersen, Jens, et al.
Published: (2025)

ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models
by: Zhu, Jingyuan, et al.
Published: (2024)

How Important are Videos for Training Video LLMs?
by: Lydakis, George, et al.
Published: (2025)

Towards Closing the Domain Gap with Event Cameras
by: Sevinc, M. Oltan, et al.
Published: (2025)

Unifying Local and Global Multimodal Features for Place Recognition in Aliased and Low-Texture Environments
by: García-Hernández, Alberto, et al.
Published: (2024)

ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection
by: Zhu, Haowei, et al.
Published: (2025)

How Real is CARLAs Dynamic Vision Sensor? A Study on the Sim-to-Real Gap in Traffic Object Detection
by: Tan, Kaiyuan, et al.
Published: (2025)

FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free
by: Yuan, Haolin, et al.
Published: (2025)

Generalization Gap in Data Augmentation: Insights from Illumination
by: Xiao, Jianqiang, et al.
Published: (2024)

PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection
by: Xu, Xiaoran, et al.
Published: (2024)

Retrieval-Augmented Open-Vocabulary Object Detection
by: Kim, Jooyeon, et al.
Published: (2024)

RadSimReal: Bridging the Gap Between Synthetic and Real Data in Radar Object Detection With Simulation
by: Bialer, Oded, et al.
Published: (2024)

Human-Interpretable Uncertainty Explanations for Point Cloud Registration
by: Gaus, Johannes A., et al.
Published: (2025)

Bridging Domain Gap of Point Cloud Representations via Self-Supervised Geometric Augmentation
by: Yu, Li, et al.
Published: (2024)

Improving Online Source-free Domain Adaptation for Object Detection by Unsupervised Data Acquisition
by: Shi, Xiangyu, et al.
Published: (2023)

Differential Alignment for Domain Adaptive Object Detection
by: He, Xinyu, et al.
Published: (2024)

Instance-Free Domain Adaptive Object Detection
by: Yu, Hengfu, et al.
Published: (2026)

D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection
by: Do, Dinh Phat, et al.
Published: (2024)

Single-Domain Generalized Object Detection by Balancing Domain Diversity and Invariance
by: He, Zhenwei, et al.
Published: (2025)

Data Augmentation via Latent Diffusion Models for Detecting Smell-Related Objects in Historical Artworks
by: Sheta, Ahmed, et al.
Published: (2025)

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

Embodied Domain Adaptation for Object Detection
by: Shi, Xiangyu, et al.
Published: (2025)