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Deep Regionlets: Blended Representation and Deep Learning for Generic
  Object Detection
v1v2 (latest)

Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection

28 November 2018
Hongyu Xu
Xutao Lv
Xiaoyu Wang
Zhou Ren
Navaneeth Bodla
Rama Chellappa
    ObjD
ArXiv (abs)PDFHTML

Papers citing "Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection"

5 / 5 papers shown
Title
Visual explanation of black-box model: Similarity Difference and
  Uniqueness (SIDU) method
Visual explanation of black-box model: Similarity Difference and Uniqueness (SIDU) method
Satya M. Muddamsetty
M. N. Jahromi
Andreea-Emilia Ciontos
Laura M. Fenoy
T. Moeslund
AAML
81
26
0
26 Jan 2021
Class-agnostic Object Detection
Class-agnostic Object Detection
Ayush Jaiswal
Yue Wu
P. Natarajan
Premkumar Natarajan
ObjD
138
32
0
28 Nov 2020
Laplacian Denoising Autoencoder
Laplacian Denoising Autoencoder
Jianbo Jiao
Linchao Bao
Yunchao Wei
Shengfeng He
Humphrey Shi
Rynson W. H. Lau
Thomas S. Huang
SSL
44
2
0
30 Mar 2020
Delving into Robust Object Detection from Unmanned Aerial Vehicles: A
  Deep Nuisance Disentanglement Approach
Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach
Zhenyu Wu
Karthik Suresh
Priya Narayanan
Hongyu Xu
H. Kwon
Zhangyang Wang
AAML
75
79
0
11 Aug 2019
Learning Simple Thresholded Features with Sparse Support Recovery
Learning Simple Thresholded Features with Sparse Support Recovery
Hongyu Xu
Zhangyang Wang
Haichuan Yang
Ding Liu
Ji Liu
74
32
0
16 Apr 2018
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