Automatic Bounding Box Annotation with Small Training Data Sets for Industrial Manufacturing

1 June 2022

Papers citing "Automatic Bounding Box Annotation with Small Training Data Sets for Industrial Manufacturing"

7 / 7 papers shown

Title
Localizing Objects with Self-Supervised Transformers and no Labels Oriane Siméoni Gilles Puy Huy V. Vo Simon Roburin Spyros Gidaris Andrei Bursuc P. Pérez Renaud Marlet Jean Ponce ViT 180 196 0 29 Sep 2021
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection Chenchen Zhu Fangyi Chen Uzair Ahmed Zhiqiang Shen Marios Savvides ObjD 99 178 0 02 Mar 2021
Universal-Prototype Enhancing for Few-Shot Object Detection Aming Wu Yahong Han Linchao Zhu Yi Yang ObjD 37 84 0 01 Mar 2021
Frustratingly Simple Few-Shot Object Detection Xin Wang Thomas E. Huang Trevor Darrell Joseph E. Gonzalez F. I. F. Richard Yu ObjD 95 544 0 16 Mar 2020
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning Xiaopeng Yan Ziliang Chen Anni Xu Xiaoxi Wang Xiaodan Liang Liang Lin ObjD 160 446 0 28 Sep 2019
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 208 1,019 0 26 Mar 2018
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,198 0 01 Sep 2014