Monocular 3D Object Detection
16개 벤치마크 · 논문 211편 · 이 태스크의 논문 보기 →
Benchmarks
KITTI Cars Moderate
KITTI Cars Hard
SUN RGB-D
KITTI Cars Easy
KITTI Pedestrian Hard
Google Objectron
KITTI Pedestrian Easy
KITTI Pedestrian Moderate
KITTI Cyclist Easy
KITTI Cyclist Hard
KITTI Cyclist Moderate
CoPerception-UAVs
OPV2V
Virtual KITTI 2
nuScenes
Most implemented
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection
M3D-RPN: Monocular 3D Region Proposal Network for Object Detection
Objects are Different: Flexible Monocular 3D Object Detection
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection
Papers
Scratched Lenses, Shifted Depth: Passive Camera-Side Optical Attacks
Physical adversarial attacks on vision systems are typically studied through scene manipulation, such as adversarial patches or projections, where the adversary controls what the camera observes. Camera-side attacks usin…
Monocular 3D Object DetectionMonocular Depth EstimationMonoPRIO: Adaptive Prior Conditioning for Unified Monocular 3D Object Detection
Monocular 3D object detection remains challenging because metric size and depth are underdetermined by single-view evidence, particularly under occlusion, truncation, and projection-induced scale-depth ambiguity. Althoug…
Monocular 3D Object DetectionWildDet3D: Scaling Promptable 3D Detection in the Wild
Understanding objects in 3D from a single image is a cornerstone of spatial intelligence. A key step toward this goal is monocular 3D object detection--recovering the extent, location, and orientation of objects from an …
Monocular 3D Object DetectionMonoSAOD: Monocular 3D Object Detection with Sparsely Annotated Label
Monocular 3D object detection has achieved impressive performance on densely annotated datasets. However, it struggles when only a fraction of objects are labeled due to the high cost of 3D annotation. This sparsely anno…
Monocular 3D Object DetectionTowards Intrinsic-Aware Monocular 3D Object Detection
Monocular 3D object detection (Mono3D) aims to infer object locations and dimensions in 3D space from a single RGB image. Despite recent progress, existing methods remain highly sensitive to camera intrinsics and struggl…
Monocular 3D Object DetectionVirPro: Visual-referred Probabilistic Prompt Learning for Weakly-Supervised Monocular 3D Detection
Monocular 3D object detection typically relies on pseudo-labeling techniques to reduce dependency on real-world annotations. Recent advances demonstrate that deterministic linguistic cues can serve as effective auxiliary…
Monocular 3D Object Detection