Copertina

Integrating Saliency Ranking and Reinforcement Learning for Enhanced Object Detection

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bartolo, Matthias, Seychell, Dylan, Bajada, Josef
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Correlation of Object Detection Performance with Visual Saliency and Depth Estimation
di: Bartolo, Matthias, et al.
Pubblicazione: (2024)

Enhancing Object Detection with Privileged Information: A Model-Agnostic Teacher-Student Approach
di: Bartolo, Matthias, et al.
Pubblicazione: (2026)

Learning Using Privileged Information for Litter Detection
di: Bartolo, Matthias, et al.
Pubblicazione: (2025)

Modeling Saliency Dataset Bias
di: Kümmerer, Matthias, et al.
Pubblicazione: (2025)

Comparative Analysis of Image, Video, and Audio Classifiers for Automated News Video Segmentation
di: Attard, Jonathan, et al.
Pubblicazione: (2025)

Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy
di: Dereka, Stanislav, et al.
Pubblicazione: (2023)

Portable Active Learning for Object Detection
di: Sharma, Rashi, et al.
Pubblicazione: (2026)

Are We Done with Object-Centric Learning?
di: Rubinstein, Alexander, et al.
Pubblicazione: (2025)

OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments
di: Delfosse, Quentin, et al.
Pubblicazione: (2023)

An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning
di: Yoon, Jaesik, et al.
Pubblicazione: (2023)

Enhancing Novel Object Detection via Cooperative Foundational Models
di: Bharadwaj, Rohit, et al.
Pubblicazione: (2023)

Reasoning-Enhanced Object-Centric Learning for Videos
di: Li, Jian, et al.
Pubblicazione: (2024)

AdaRank: Adaptive Rank Pruning for Enhanced Model Merging
di: Lee, Chanhyuk, et al.
Pubblicazione: (2025)

A Fresh Look at Sanity Checks for Saliency Maps
di: Hedström, Anna, et al.
Pubblicazione: (2024)

Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where
di: Chin, Zhi-Yi, et al.
Pubblicazione: (2023)

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection
di: Wang, Yuxiang, et al.
Pubblicazione: (2025)

Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models
di: Sha, Qutub Syed, et al.
Pubblicazione: (2024)

Ranking vs. Assignment: The Metric Mismatch in Multi-View Object Association
di: Shelukhan, Matvei, et al.
Pubblicazione: (2026)

CNN Explainability with Multivector Tucker Saliency Maps for Self-Supervised Models
di: Bouayed, Aymene Mohammed, et al.
Pubblicazione: (2024)

Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification
di: Hinns, James, et al.
Pubblicazione: (2025)

Federated Learning with Heterogeneous Data Handling for Robust Vehicular Object Detection
di: Khalil, Ahmad, et al.
Pubblicazione: (2024)

Saliency-guided Emotion Modeling: Predicting Viewer Reactions from Video Stimuli
di: Yaragoppa, Akhila, et al.
Pubblicazione: (2025)

X-Mark: Saliency-Guided Robust Dataset Ownership Verification for Medical Imaging
di: Kulkarni, Pranav, et al.
Pubblicazione: (2026)

Evaluating the Energy Efficiency of Few-Shot Learning for Object Detection in Industrial Settings
di: Tsoumplekas, Georgios, et al.
Pubblicazione: (2024)

MelNet: A Real-Time Deep Learning Algorithm for Object Detection
di: Azadvatan, Yashar, et al.
Pubblicazione: (2024)

Multi-Task Learning with Multi-Annotation Triplet Loss for Improved Object Detection
di: Zhou, Meilun, et al.
Pubblicazione: (2025)

Improving Long-Tailed Object Detection with Balanced Group Softmax and Metric Learning
di: Gaba, Satyam
Pubblicazione: (2025)

SalNAS: Efficient Saliency-prediction Neural Architecture Search with self-knowledge distillation
di: Termritthikun, Chakkrit, et al.
Pubblicazione: (2024)

Rethinking Saliency Maps: A Cognitive Human Aligned Taxonomy and Evaluation Framework for Explanations
di: Elisha, Yehonatan, et al.
Pubblicazione: (2025)

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps
di: Dzuong, Jocelyn
Pubblicazione: (2025)

Exploring Machine Learning Engineering for Object Detection and Tracking by Unmanned Aerial Vehicle (UAV)
di: Guna, Aneesha, et al.
Pubblicazione: (2024)

Language-Driven Active Learning for Diverse Open-Set 3D Object Detection
di: Greer, Ross, et al.
Pubblicazione: (2024)

Open-CRB: Towards Open World Active Learning for 3D Object Detection
di: Chen, Zhuoxiao, et al.
Pubblicazione: (2023)

Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets
di: Grommelt, Patrick, et al.
Pubblicazione: (2024)

End-to-End Framework Integrating Generative AI and Deep Reinforcement Learning for Autonomous Ultrasound Scanning
di: Elmekki, Hanae, et al.
Pubblicazione: (2025)

Visual-TCAV: Concept-based Attribution and Saliency Maps for Post-hoc Explainability in Image Classification
di: De Santis, Antonio, et al.
Pubblicazione: (2024)

Saliency strikes back: How filtering out high frequencies improves white-box explanations
di: Muzellec, Sabine, et al.
Pubblicazione: (2023)

SegDAC: Visual Generalization in Reinforcement Learning via Dynamic Object Tokens
di: Brown, Alexandre, et al.
Pubblicazione: (2025)

Grounded Object Centric Learning
di: Kori, Avinash, et al.
Pubblicazione: (2023)

HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
di: Cao, Shengcao, et al.
Pubblicazione: (2024)