DeepHash: Getting Regularization, Depth and Fine-Tuning Right

20 January 2015

Papers citing "DeepHash: Getting Regularization, Depth and Fine-Tuning Right"

7 / 7 papers shown

Title
Revisiting Fully Convolutional Geometric Features for Object 6D Pose Estimation Jaime Corsetti Davide Boscaini Fabio Poiesi 3DPC 42 5 0 28 Jul 2023
PointCLM: A Contrastive Learning-based Framework for Multi-instance Point Cloud Registration Ming-Dong Yuan Zhihao Li Qiuye Jin Xinrong Chen Manning Wang 3DPC 33 10 0 01 Sep 2022
ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating Binghui Chen Weihong Deng 24 7 0 04 Jun 2018
Reconstruction of Simulation-Based Physical Field by Reconstruction Neural Network Method Yu Li Hu Wang Kangjia Mo Tao Zeng 3DV AI4CE 37 7 0 19 Apr 2018
Unsupervised Triplet Hashing for Fast Image Retrieval Shanshan Huang Yichao Xiong Ya Zhang Jia Wang 11 49 0 28 Feb 2017
Learning Deep Embeddings with Histogram Loss E. Ustinova Victor Lempitsky 59 349 0 02 Nov 2016
Localizing and Orienting Street Views Using Overhead Imagery Nam N. Vo James Hays 35 246 0 30 Jul 2016