Object Detection In Indoor Scenes

4 papers with code • 1 benchmarks • 10 datasets

Object detection in indoor scenes is the task of performing object detection within an indoor environment.

( Image credit: Faster Bounding Box Annotation for Object Detection in Indoor Scenes )

Most implemented papers

Frustum PointNets for 3D Object Detection from RGB-D Data

charlesq34/frustum-pointnets CVPR 2018

In this work, we study 3D object detection from RGB-D data in both indoor and outdoor scenes.

simCrossTrans: A Simple Cross-Modality Transfer Learning for Object Detection with ConvNets or Vision Transformers

liketheflower/simcrosstrans 20 Mar 2022

Most transfer learning systems are based on the same modality (e. g. RGB image in CV and text in NLP).

Learning Rich Features from RGB-D Images for Object Detection and Segmentation

charlescxk/depth2hha-python 22 Jul 2014

In this paper we study the problem of object detection for RGB-D images using semantically rich image and depth features.

Unified Object Detector for Different Modalities based on Vision Transformers

liketheflower/uoddm 3 Jul 2022

We evaluate our unified model on the SUN RGB-D dataset, and demonstrate that it achieves similar or better performance in terms of mAP50 compared to state-of-the-art methods in the SUNRGBD16 category, and comparable performance in point cloud only mode.