Papers Robust Object Detection
“Robust Object Detection” 태그가 달린 논문 113편 · 필터 해제
AdROD: HyperNetwork-based Adversarially Robust Object Detection for Autonomous Driving
Camera-based object detectors are vulnerable to physical adversarial attacks designed to suppress detections. While adversarial training and input purification offer some protection, they often overfit to specific attack…
Robust Object DetectionAdversarial RobustnessAutonomous DrivingObject TrackingLipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection
Object detectors have many applications in safety-critical systems, but they are known to be sensitive to worst-case perturbations such as adversarial attacks, which limits their applicability in real-world scenarios. Co…
Robust Object DetectionAdversarial RobustnessInfraNet: Quality-Aware RGB Guidance for Efficient Infrared Object Detection
Robust object detection under adverse visual conditions remains a long-standing challenge for multi-modal perception systems. Existing fusion-based methods typically require both RGB and infrared (IR) inputs, and treat t…
Robust Object DetectionFR-DETR: Frequency and Recurrent Feature Refinement for Robust Object Detection under Adverse Weather
Object detection under adverse weather remains challenging due to severe visual degradations and domain shifts. Existing enhancer-based approaches attempt to improve detection by cascading an enhancer with a detector, bu…
Robust Object DetectionFATE: Pillar Encoding and Frequency-Aware Training for Event-Based Object Detection
Event cameras are bio-inspired sensors that asynchronously capture logarithmic intensity changes, offering inherent advantages in high-speed and high-dynamic-range scenarios. However, the sparse and asynchronous nature o…
Robust Object DetectionTiny Collaborative Inference for Occlusion-Robust Object Detection
Edge AI nodes for search and rescue are increasingly expected to run computer vision locally, yet ultra-low-end hardware imposes hard constraints on memory, compute, and inter-device communication. This work addresses oc…
Robust Object DetectionFederated LearningAdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery
Detecting objects reliably under extreme low-light conditions is an open problem in computer vision, with practical urgency in applications ranging from nighttime surveillance to search-and-rescue robotics. Conventional …
Robust Object DetectionDETR-ViP: Detection Transformer with Robust Discriminative Visual Prompts
Visual prompted object detection enables interactive and flexible definition of target categories, thereby facilitating open-vocabulary detection. Since visual prompts are derived directly from image features, they often…
Robust Object DetectionContrastive LearningHyper-FEOD: Sparse Hypergraph-Enhanced Frame-Event Object Detection with Fine-Grained MoE
The integration of frame-based RGB cameras with event streams constitutes a promising paradigm for robust object detection under challenging dynamic conditions. Nevertheless, effectively modeling intricate multi-modal in…
Robust Object DetectionCD-FKD: Cross-Domain Feature Knowledge Distillation for Robust Single-Domain Generalization in Object Detection
Single-domain generalization is essential for object detection, particularly when training models on a single source domain and evaluating them on unseen target domains. Domain shifts, such as changes in weather, lightin…
Robust Object DetectionKnowledge DistillationDomain GeneralizationAutonomous DrivingRadarXFormer: Robust Object Detection via Cross-Dimension Fusion of 4D Radar Spectra and Images for Autonomous Driving
Reliable perception is essential for autonomous driving systems to operate safely under diverse real-world traffic conditions. However, camera- and LiDAR-based perception systems suffer from performance degradation under…
Robust Object Detection3D Object DetectionAutonomous DrivingPoint CloudsYOLO11-4K: An Efficient Architecture for Real-Time Small Object Detection in 4K Panoramic Images
The processing of omnidirectional 360-degree images poses significant challenges for object detection due to inherent spatial distortions, wide fields of view, and ultra-high-resolution inputs. Conventional detectors suc…
Robust Object DetectionSmall Object DetectionYOLO Meets Mixture-of-Experts: Adaptive Expert Routing for Robust Object Detection
This paper presents a novel Mixture-of-Experts framework for object detection, incorporating adaptive routing among multiple YOLOv9-T experts to enable dynamic feature specialization and achieve higher mean Average Preci…
Robust Object DetectionA Novel AI-Driven System for Real-Time Detection of Mirror Absence, Helmet Non-Compliance, and License Plates Using YOLOv8 and OCR
Road safety is a critical global concern, with manual enforcement of helmet laws and vehicle safety standards (e.g., rear-view mirror presence) being resource-intensive and inconsistent. This paper presents an AI-powered…
License Plate RecognitionRobust Object DetectionRobust Object Detection with Pseudo Labels from VLMs using Per-Object Co-teaching
Foundation models, especially vision-language models (VLMs), offer compelling zero-shot object detection for applications like autonomous driving, a domain where manual labelling is prohibitively expensive. However, thei…
Zero-Shot Object DetectionRobust Object DetectionAutonomous DrivingPEOD: A Pixel-Aligned Event-RGB Benchmark for Object Detection under Challenging Conditions
Robust object detection for challenging scenarios increasingly relies on event cameras, yet existing Event-RGB datasets remain constrained by sparse coverage of extreme conditions and low spatial resolution (<= 640 x 480…
Robust Object DetectionDMSORT: An efficient parallel maritime multi-object tracking architecture for unmanned vessel platforms
Accurate perception of the marine environment through robust multi-object tracking (MOT) is essential for ensuring safe vessel navigation and effective maritime surveillance. However, the complicated maritime environment…
Robust Object DetectionMulti-Object TrackingA Unified Detection Pipeline for Robust Object Detection in Fisheye-Based Traffic Surveillance
Fisheye cameras offer an efficient solution for wide-area traffic surveillance by capturing large fields of view from a single vantage point. However, the strong radial distortion and nonuniform resolution inherent in fi…
Robust Object DetectionRobust Object Detection for Autonomous Driving via Curriculum-Guided Group Relative Policy Optimization
Multimodal Large Language Models (MLLMs) excel in vision-language reasoning but often struggle with structured perception tasks requiring precise localization and robustness. We propose a reinforcement learning framework…
Robust Object DetectionReinforcement LearningAutonomous DrivingEvaluating YOLO Architectures: Implications for Real-Time Vehicle Detection in Urban Environments of Bangladesh
Vehicle detection systems trained on Non-Bangladeshi datasets struggle to accurately identify local vehicle types in Bangladesh's unique road environments, creating critical gaps in autonomous driving technology for deve…
Robust Object DetectionAutonomous Driving