Object Detection and Pose Estimation from RGB and Depth Data for
Real-time, Adaptive Robotic Grasping

Object Detection and Pose Estimation from RGB and Depth Data for Real-time, Adaptive Robotic Grasping

18 January 2021

Muhammed Tawfiq Chowdhury

M. Nicolescu

M. Nicolescu

Papers citing "Object Detection and Pose Estimation from RGB and Depth Data for Real-time, Adaptive Robotic Grasping"

6 / 6 papers shown

Title
Q-YOLO: Efficient Inference for Real-time Object Detection Mingze Wang H. Sun Jun Shi Xuhui Liu Baochang Zhang Xianbin Cao ObjD 42 8 0 01 Jul 2023
MultiSCOPE: Disambiguating In-Hand Object Poses with Proprioception and Tactile Feedback A. Sipos Nima Fazeli 44 6 0 23 May 2023
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors Chien-Yao Wang Alexey Bochkovskiy H. Liao ObjD 29 6,252 0 06 Jul 2022
Simultaneous Contact Location and Object Pose Estimation Using Proprioception and Tactile Feedback A. Sipos Nima Fazeli 24 16 0 02 Jun 2022
Performance Analysis of Keypoint Detectors and Binary Descriptors Under Varying Degrees of Photometric and Geometric Transformations S. K. Paul P. Hoseini Mircea Nicolescu Monica Nicolescu 13 5 0 08 Dec 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 448 15,652 0 02 Nov 2015