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DIP-R1: Deep Inspection and Perception with RL Looking Through and Understanding Complex Scenes

DIP-R1: Deep Inspection and Perception with RL Looking Through and Understanding Complex Scenes

29 May 2025
Sungjune Park
Hyunjun Kim
Junho Kim
S. T. Kim
Y. Ro
    LRM
ArXivPDFHTML

Papers citing "DIP-R1: Deep Inspection and Perception with RL Looking Through and Understanding Complex Scenes"

6 / 56 papers shown
Title
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking
Dawei Du
Yuankai Qi
Hongyang Yu
Yi-Fan Yang
Kaiwen Duan
Guorong Li
Wentao Zhang
Qingming Huang
Q. Tian
80
667
0
26 Mar 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
487
19,019
0
20 Jul 2017
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
299
5,827
0
14 Jun 2017
Deep reinforcement learning from human preferences
Deep reinforcement learning from human preferences
Paul Christiano
Jan Leike
Tom B. Brown
Miljan Martic
Shane Legg
Dario Amodei
155
3,302
0
12 Jun 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
352
4,705
0
15 Mar 2017
CityPersons: A Diverse Dataset for Pedestrian Detection
CityPersons: A Diverse Dataset for Pedestrian Detection
Shanshan Zhang
Rodrigo Benenson
Bernt Schiele
59
806
0
19 Feb 2017
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