3D Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 5
- 평가표
- 67
- 보존된 평가 기록
- 806
3D Object Detection is a task in computer vision where the goal is to identify and locate objects in a 3D environment based on their shape, location, and orientation. It involves detecting the presence of objects and determining their location in the 3D space in real-time. This task is crucial for applications such as autonomous vehicles, robotics, and augmented reality.
<span style="color:grey; opacity: 0.6">( Image credit: AVOD )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tensorboy/centerpose
https://github.com/tensorflow/models/tree/master/research/object_detection
https://github.com/theinmate4587/Autonomous-driving---Car-detection
https://github.com/thekoshkina/blackai-challenge
https://github.com/thodorostsao/4-leg-robot-neural-network
https://github.com/thtrieu/darkflow
https://github.com/thusiyuan/holistic_scene_parsing
Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image
https://github.com/tiagoCuervo/JapaNet
https://github.com/tianhai123/yolov3
https://github.com/tianweiy/CenterPoint-KITTI
https://github.com/tiev-tongji/quadric_slam
https://github.com/tmbaoloc/darknet
https://github.com/tom-roddick/oft
Orthographic Feature Transform for Monocular 3D Object Detection
https://github.com/tommyjtl/darknet-colab
https://github.com/tonysy/pointnet2_tf
https://github.com/tops666/volo-v4-
https://github.com/toufiksk/darknet
https://github.com/traveller59/second.pytorch
https://github.com/trongnghia00/darknet
https://github.com/trungmanhhuynh/Object-Detection-Localization
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation
https://github.com/tteepe/CenterNet-pytorch-lightning
https://github.com/tudelft-iv/view-of-delft-dataset
https://github.com/tyolm/groupfree3d_mindspore
https://github.com/ucbdrive/3d-vehicle-tracking
https://github.com/umich-curly/3dmapping
https://github.com/usnistgov/object-detection-yolov3
https://github.com/valeoai/pointbev
https://github.com/vantupham/darknet
https://github.com/vasukumar92/Autonomous-driving---Car-detection
https://github.com/vietanhdev/centernet-bdd-data
https://github.com/vietanhdev/centernet-bdd-data-onnx-conversion
https://github.com/vietanhdev/open-adas
https://github.com/vijaylaxmid/DeepLearning_3DPointClouds
https://github.com/vinliao/object-detection-python
https://github.com/vision-agh/pointpillars_backbone
Exploring Data Augmentation for Multi-Modality 3D Object Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.