Cover Image

Self-Supervised Learning for Real-World Object Detection: a Survey

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ciocarlan, Alina, Lefebvre, Sidonie, Hégarat-Mascle, Sylvie Le, Woiselle, Arnaud
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

Deep-NFA: a Deep $\textit{a contrario}$ Framework for Small Object Detection
by: Ciocarlan, Alina, et al.
Published: (2023)

Robust infrared small target detection using self-supervised and a contrario paradigms
by: Ciocarlan, Alina, et al.
Published: (2024)

$\textit{A Contrario}$ Paradigm for YOLO-based Infrared Small Target Detection
by: Ciocarlan, Alina, et al.
Published: (2024)

Anomaly-Aware YOLO: A Frugal yet Robust Approach to Infrared Small Target Detection
by: Ciocarlan, Alina, et al.
Published: (2025)

VISTA: A Vision and Intent-Aware Social Attention Framework for Multi-Agent Trajectory Prediction
by: Martins, Stephane Da Silva, et al.
Published: (2025)

Multispectral Texture Synthesis using RGB Convolutional Neural Networks
by: Ollivier, Sélim, et al.
Published: (2024)

ICPR 2024 Competition on Domain Adaptation and GEneralization for Character Classification (DAGECC)
by: Marino, Sofia, et al.
Published: (2024)

Small Object Detection: A Comprehensive Survey on Challenges, Techniques and Real-World Applications
by: Nikouei, Mahya, et al.
Published: (2025)

Leveraging Self-Supervised Instance Contrastive Learning for Radar Object Detection
by: Decourt, Colin, et al.
Published: (2024)

Co-Learning: Towards Semi-Supervised Object Detection with Road-side Cameras
by: Yuan, Jicheng, et al.
Published: (2024)

Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis
by: Isaac-Medina, Brian K. S., et al.
Published: (2024)

Open World Object Detection: A Survey
by: Li, Yiming, et al.
Published: (2024)

Streamlining the Development of Active Learning Methods in Real-World Object Detection
by: Sbeyti, Moussa Kassem, et al.
Published: (2025)

Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection
by: Sbeyti, Moussa Kassem, et al.
Published: (2025)

Cross-Domain Validation of a Resection-Trained Self-Supervised Model on Multicentre Mesothelioma Biopsies
by: Seyedshahi, Farzaneh, et al.
Published: (2025)

Self-Supervised YOLO: Leveraging Contrastive Learning for Label-Efficient Object Detection
by: Kotthapalli, Manikanta, et al.
Published: (2025)

Learning Class Prototypes for Unified Sparse Supervised 3D Object Detection
by: Zhu, Yun, et al.
Published: (2025)

Self-Supervised Learning for Real-World Super-Resolution from Dual and Multiple Zoomed Observations
by: Zhang, Zhilu, et al.
Published: (2024)

Self-Classification Enhancement and Correction for Weakly Supervised Object Detection
by: Yin, Yufei, et al.
Published: (2025)

Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey
by: Siméoni, Oriane, et al.
Published: (2023)

Recent Advances in Multi-Agent Human Trajectory Prediction: A Comprehensive Review
by: Finet, Céline, et al.
Published: (2025)

YOLO-World: Real-Time Open-Vocabulary Object Detection
by: Cheng, Tianheng, et al.
Published: (2024)

Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer
by: Shehzadi, Tahira, et al.
Published: (2024)

Beyond Task-Driven Features for Object Detection
by: Zhou, Meilun, et al.
Published: (2026)

HUWSOD: Holistic Self-training for Unified Weakly Supervised Object Detection
by: Cao, Liujuan, et al.
Published: (2024)

Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection
by: Hegde, Deepti, et al.
Published: (2024)

LISO: Lidar-only Self-Supervised 3D Object Detection
by: Baur, Stefan, et al.
Published: (2024)

Generalized Open-World Semi-Supervised Object Detection
by: Allabadi, Garvita, et al.
Published: (2023)

Simulated Cortical Magnification Supports Self-Supervised Object Learning
by: Yu, Zhengyang, et al.
Published: (2025)

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection
by: Bonazzi, Pietro, et al.
Published: (2026)

Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios
by: Chen, Shiyan, et al.
Published: (2023)

Next-Scale Prediction: A Self-Supervised Approach for Real-World Image Denoising
by: Shan, Yiwen, et al.
Published: (2025)

PatchContrast: Self-Supervised Pre-training for 3D Object Detection
by: Shrout, Oren, et al.
Published: (2023)

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

Self-Supervised Learning for Text Recognition: A Critical Survey
by: Penarrubia, Carlos, et al.
Published: (2024)

Self-Supervised Learning for Image Segmentation: A Comprehensive Survey
by: Akilan, Thangarajah, et al.
Published: (2025)

RTS-Mono: A Real-Time Self-Supervised Monocular Depth Estimation Method for Real-World Deployment
by: Cheng, Zeyu, et al.
Published: (2025)

SSL-OTA: Unveiling Backdoor Threats in Self-Supervised Learning for Object Detection
by: Wang, Qiannan, et al.
Published: (2023)

Explorations in Self-Supervised Learning: Dataset Composition Testing for Object Classification
by: Chavez, Raynor Kirkson E., et al.
Published: (2024)

UN-DETR: Promoting Objectness Learning via Joint Supervision for Unknown Object Detection
by: Liu, Haomiao, et al.
Published: (2024)