Papers with Code 아카이브
Object Detection In Indoor Scenes
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 1
- 보존된 평가 기록
- 7
Object detection in indoor scenes is the task of performing object detection within an indoor environment.
<span style="color:grey; opacity: 0.6">( Image credit: Faster Bounding Box Annotation for Object Detection in Indoor Scenes )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
simCrossTrans: A Simple Cross-Modality Transfer Learning for Object Detection with ConvNets or Vision Transformers
Frustum VoxNet for 3D object detection from RGB-D or Depth images
Faster Bounding Box Annotation for Object Detection in Indoor Scenes
Frustum PointNets for 3D Object Detection from RGB-D Data
Synthesizing Training Data for Object Detection in Indoor Scenes
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.