SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous Driving
Not on the map. Why?
Abstract (arXiv)
Object detection (OD) is crucial to autonomous driving. On the other hand, unknown objects, which have not been seen in training sample set, are one of the reasons that hinder autonomous vehicles from driving beyond the operational domain. To addresss this issue, we propose a saliency-based OD algorithm (SalienDet) to detect unknown objects. Our SalienDet utilizes a saliency-based algorithm to enhance image features for object proposal generation. Moreover, we design a dataset relabeling approach to differentiate the unknown objects from all objects in training sample set to achieve Open-World Detection. To validate the performance of SalienDet, we evaluate SalienDet on KITTI, nuScenes, and BDD datasets, and the result indicates that it outperforms existing algorithms for unknown object detection. Notably, SalienDet can be easily adapted for incremental learning in open-world detection tasks. The project page is urlhttps://github.com/dingmike001/SalienDet-Open-Detection.git.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 41 of its 69 references that are in the map. First posted on arXiv 11 May 2023.
Builds on
41 of 69 references.
References · 41
- 2015Deep Residual Learning for Image Recognitioncited by 52,096
- 2014Microsoft COCO: Common Objects in Contextcited by 17,608
- 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
- 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,639
- 2020End-to-End Object Detection with Transformerscited by 7,414
- 2017Mask R-CNNcited by 7,277
- 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,852
- 2019nuScenes: A multimodal dataset for autonomous drivingcited by 4,523
- 2020Deformable DETR: Deformable Transformers for End-to-End Object Detectioncited by 3,422
- 2015SSD: Single Shot MultiBox Detectorcited by 3,130
- 2015Fast R-CNNcited by 2,933
- 2018YOLOv3: An Incremental Improvementcited by 2,659
29 more
- 2013Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Mapscited by 2,371
- 2013Rich feature hierarchies for accurate object detection and semantic segmentationcited by 2,162
- 2020YOLOv4: Optimal Speed and Accuracy of Object Detectioncited by 1,630
- 2016YOLO9000: Better, Faster, Strongercited by 1,431
- 2017Cascade R-CNN: Delving into High Quality Object Detectioncited by 1,276
- 2019Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selectioncited by 540
- 2018Object Detection with Deep Learning: A Reviewcited by 528
- 2020Sparse R-CNN: End-to-End Object Detection with Learnable Proposalscited by 495
- 2019Cascade R-CNN: High Quality Object Detection and Instance Segmentationcited by 429
- 2019A Survey of Deep Learning Techniques for Autonomous Drivingcited by 403
- 2021Towards Open World Object Detectioncited by 297
- 2019Libra R-CNN: Towards Balanced Learning for Object Detectioncited by 255
- 2014Towards Open World Recognitioncited by 226
- 2021OW-DETR: Open-world Detection Transformercited by 129
- 2017Dropout Sampling for Robust Object Detection in Open-Set Conditionscited by 112
- 2021Learning Open-World Object Proposals without Learning to Classifycited by 109
- 2019Rethinking Classification and Localization for Object Detectioncited by 98
- 2020OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in An Open Worldcited by 93
- 2019Region Proposal by Guided Anchoringcited by 87
- 2022PROB: Probabilistic Objectness for Open World Object Detectioncited by 57
- 2022UC-OWOD: Unknown-Classified Open World Object Detectioncited by 40
- 2021Disentangle Your Dense Object Detectorcited by 37
- 2019Side-Aware Boundary Localization for More Precise Object Detectioncited by 36
- 2015Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Networkcited by 31
- 2022Revisiting Open World Object Detectioncited by 30
- 2023CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detectioncited by 28
- 2022A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perceptioncited by 10
- 2021Attention-based Neural Network for Driving Environment Complexity Perceptioncited by 9
- 2022X-CAR: An Experimental Vehicle Platform for Connected Autonomy Research Powered by CARMAcited by 6
Built on by
Citing papers per year: 2024: 4; 2025: 2; 2026: 2.
8 papers.
- 2024Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectivescited by 23
- 2024Advancing Chart Question Answering with Robust Chart Component Recognitioncited by 5
- 2024Image-Guided Outdoor LiDAR Perception Quality Assessment for Autonomous Drivingcited by 3
- 2024Guiding Attention in End-to-End Driving Modelscited by 1
- 2025Evaluating Scenario-based Decision-making for Interactive Autonomous Driving Using Rational Criteria: A Surveycited by 1
- 2025DriverGaze360: OmniDirectional Driver Attention with Object-Level Guidancecited by 1
- 2026Revisiting Salient Object Detection from an Observer-Centric Perspectivecited by 0
- 2026Liquid Fusion of Heterogeneous Representations Towards General Salient Object Detectioncited by 0
- 2026Liquid Fusion of Heterogeneous Representations Towards General Salient Object Detection25 Jun 2026
- 2026Revisiting Salient Object Detection from an Observer-Centric Perspective6 Feb 2026
- 2025DriverGaze360: OmniDirectional Driver Attention with Object-Level Guidance16 Dec 2025
- 2025Evaluating Scenario-based Decision-making for Interactive Autonomous Driving Using Rational Criteria: A Survey3 Jan 2025
- 2024Advancing Chart Question Answering with Robust Chart Component Recognition19 Jul 2024
- 2024Image-Guided Outdoor LiDAR Perception Quality Assessment for Autonomous Driving25 Jun 2024
- 2024Guiding Attention in End-to-End Driving Models30 Apr 2024
- 2024Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives5 Feb 2024