Weakly-supervised DCNN for RGB-D Object Recognition in Real-World Applications Which Lack Large-scale Annotated Training Data

19 March 2017

Papers citing "Weakly-supervised DCNN for RGB-D Object Recognition in Real-World Applications Which Lack Large-scale Annotated Training Data"

6 / 6 papers shown

Title
Self-supervised cross-modality learning for uncertainty-aware object detection and recognition in applications which lack pre-labelled training data Irum Mehboob Li Sun Alireza Astegarpanah Rustam Stolkin UQCV 217 0 0 05 Nov 2024
Vision and Tactile Robotic System to Grasp Litter in Outdoor Environments Ignacio de Loyola Páez-Ubieta Julio Castaño-Amorós S. T. Puente Pablo Gil 203 5 0 11 Jul 2024
Semantic Segmentation of Anaemic RBCs Using Multilevel Deep Convolutional Encoder-Decoder NetworkIEEE Access (IEEE Access), 2022 Muhammad Shahzad A. I. Umar S. H. Shirazi Israr Ahmed Shaikh 109 6 0 09 Feb 2022
Weakly Supervised 3D Object Detection from Point CloudsACM Multimedia (ACM MM), 2020 Zengyi Qin Jinglu Wang Yan Lu 3DPC 210 67 0 28 Jul 2020
EPANer Team Description Paper for World Robot Challenge 2020 Zhi Yan Nathan Crombez Li Sun 93 0 0 05 Sep 2019
A fully end-to-end deep learning approach for real-time simultaneous 3D reconstruction and material recognition Cheng Zhao Li Sun Rustam Stolkin 3DV 152 49 0 14 Mar 2017