Papers Oriented Object Detection
“Oriented Object Detection” 태그가 달린 논문 123편 · 필터 해제
Semantic-decoupled Spatial Partition Guided Point-supervised Oriented Object Detection
Recent remote sensing tech advancements drive imagery growth, making oriented object detection rapid development, yet hindered by labor-intensive annotation for high-density scenes. Oriented object detection with point s…
object-detectionObject DetectionOriented Object DetectionRQR3D: Reparametrizing the regression targets for BEV-based 3D object detection
Accurate, fast, and reliable 3D perception is essential for autonomous driving. Recently, bird's-eye view (BEV)-based perception approaches have emerged as superior alternatives to perspective-based solutions, offering e…
3D Object DetectionAutonomous DrivingObjectobject-detection+3S$^2$Teacher: Step-by-step Teacher for Sparsely Annotated Oriented Object Detection
Although fully-supervised oriented object detection has made significant progress in multimodal remote sensing image understanding, it comes at the cost of labor-intensive annotation. Recent studies have explored weakly …
object-detectionObject DetectionOriented Object DetectionLEGNet: Lightweight Edge-Gaussian Driven Network for Low-Quality Remote Sensing Image Object Detection
Remote sensing object detection (RSOD) faces formidable challenges in complex visual environments. Aerial and satellite images inherently suffer from limitations such as low spatial resolution, sensor noise, blurred obje…
Computational Efficiencyobject-detectionObject DetectionObject Detection In Aerial Images+1Ship Detection in Remote Sensing Imagery for Arbitrarily Oriented Object Detection
This research paper presents an innovative ship detection system tailored for applications like maritime surveillance and ecological monitoring. The study employs YOLOv8 and repurposed U-Net, two advanced deep learning m…
Disaster ResponseInstance Segmentationobject-detectionObject Detection+2OpenRSD: Towards Open-prompts for Object Detection in Remote Sensing Images
Remote sensing object detection has made significant progress, but most studies still focus on closed-set detection, limiting generalization across diverse datasets. Open-vocabulary object detection (OVD) provides a solu…
Objectobject-detectionObject DetectionOpen-vocabulary object detection+2Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection
Accurately estimating the orientation of visual objects with compact rotated bounding boxes (RBoxes) has become a prominent demand, which challenges existing object detection paradigms that only use horizontal bounding b…
object-detectionObject DetectionOriented Object DetectionPoint2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances
With the rapidly increasing demand for oriented object detection (OOD), recent research involving weakly-supervised detectors for learning OOD from point annotations has gained great attention. In this paper, we rethink …
object-detectionObject DetectionOriented Object DetectionGauCho: Gaussian Distributions with Cholesky Decomposition for Oriented Object Detection
Oriented Object Detection (OOD) has received increased attention in the past years, being a suitable solution for detecting elongated objects in remote sensing analysis. In particular, using regression loss functions bas…
object-detectionObject DetectionOriented Object DetectionregressionPointOBB-v3: Expanding Performance Boundaries of Single Point-Supervised Oriented Object Detection
With the growing demand for oriented object detection (OOD), recent studies on point-supervised OOD have attracted significant interest. In this paper, we propose PointOBB-v3, a stronger single point-supervised OOD frame…
object-detectionObject DetectionOriented Object DetectionPseudo Label+1LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual Tasks
Remote sensing (RS) visual tasks have gained significant academic and practical importance. However, they encounter numerous challenges that hinder effective feature extraction, including the detection and recognition of…
Change DetectionImage Classificationobject-detectionObject Detection+4TimberVision: A Multi-Task Dataset and Framework for Log-Component Segmentation and Tracking in Autonomous Forestry Operations
Timber represents an increasingly valuable and versatile resource. However, forestry operations such as harvesting, handling and measuring logs still require substantial human labor in remote environments posing signific…
BenchmarkingDomain AdaptationInstance SegmentationMulti-Object Tracking+6Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection
While witnessed with rapid development, remote sensing object detection remains challenging for detecting high aspect ratio objects. This paper shows that large strip convolutions are good feature representation learners…
Objectobject-detectionObject DetectionObject Detection In Aerial Images+1ReDiffDet: Rotation-equivariant Diffusion Model for Oriented Object Detection
The diffusion model has been successfully applied to various detection tasks. However, it still faces several challenges when used for oriented object detection: objects that are arbitrarily rotated require the diffu…
DecoderDenoisingobject-detectionObject Detection+1ABBSPO: Adaptive Bounding Box Scaling and Symmetric Prior based Orientation Prediction for Detecting Aerial Image Objects
Weakly supervised Oriented Object Detection (WS-OOD) has gained attention as a cost-effective alternative to fully supervised methods, providing efficiency and high accuracy. Among weakly supervised approaches, horiz…
object-detectionObject DetectionOriented Object DetectionSelf-Supervised LearningHA-RDet: Hybrid Anchor Rotation Detector for Oriented Object Detection
Oriented object detection in aerial images poses a significant challenge due to their varying sizes and orientations. Current state-of-the-art detectors typically rely on either two-stage or one-stage approaches, often e…
object-detectionObject DetectionObject Detection In Aerial ImagesOriented Object DetectionEfficient Oriented Object Detection with Enhanced Small Object Recognition in Aerial Images
Achieving a balance between computational efficiency and detection accuracy in the realm of rotated bounding box object detection within aerial imagery is a significant challenge. While prior research has aimed at creati…
Computational EfficiencyObjectobject-detectionObject Detection+2Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning
Detecting oriented tiny objects, which are limited in appearance information yet prevalent in real-world applications, remains an intricate and under-explored problem. To address this, we systemically introduce a new dat…
Objectobject-detectionObject DetectionOriented Object DetectionStructure Tensor Representation for Robust Oriented Object Detection
Oriented object detection predicts orientation in addition to object location and bounding box. Precisely predicting orientation remains challenging due to angular periodicity, which introduces boundary discontinuity iss…
Objectobject-detectionObject DetectionOriented Object DetectionSIRA: Scalable Inter-frame Relation and Association for Radar Perception
Conventional radar feature extraction faces limitations due to low spatial resolution, noise, multipath reflection, the presence of ghost targets, and motion blur. Such limitations can be exacerbated by nonlinear object …
Multiple Object TrackingObjectobject-detectionObject Detection+4