ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1812.11971
  4. Cited By
Mid-Level Visual Representations Improve Generalization and Sample
  Efficiency for Learning Visuomotor Policies

Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies

31 December 2018
Alexander Sax
Bradley Emi
Amir Zamir
Leonidas J. Guibas
Silvio Savarese
Jitendra Malik
    SSL
ArXivPDFHTML

Papers citing "Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies"

11 / 11 papers shown
Title
GraphMapper: Efficient Visual Navigation by Scene Graph Generation
GraphMapper: Efficient Visual Navigation by Scene Graph Generation
Zachary Seymour
Niluthpol Chowdhury Mithun
Han-Pang Chiu
S. Samarasekera
Rakesh Kumar
16
8
0
17 May 2022
On-edge Multi-task Transfer Learning: Model and Practice with
  Data-driven Task Allocation
On-edge Multi-task Transfer Learning: Model and Practice with Data-driven Task Allocation
Zimu Zheng
Qiong Chen
Chuang Hu
Dan Wang
Fangming Liu
9
67
0
06 Jul 2021
Learning to See before Learning to Act: Visual Pre-training for
  Manipulation
Learning to See before Learning to Act: Visual Pre-training for Manipulation
Yen-Chen Lin
Andy Zeng
Shuran Song
Phillip Isola
Tsung-Yi Lin
SSL
11
87
0
01 Jul 2021
MaAST: Map Attention with Semantic Transformersfor Efficient Visual
  Navigation
MaAST: Map Attention with Semantic Transformersfor Efficient Visual Navigation
Zachary Seymour
Kowshik Thopalli
Niluthpol Chowdhury Mithun
Han-Pang Chiu
S. Samarasekera
Rakesh Kumar
3DPC
13
18
0
21 Mar 2021
Visuomotor Understanding for Representation Learning of Driving Scenes
Visuomotor Understanding for Representation Learning of Driving Scenes
Seokju Lee
Junsik Kim
Tae-Hyun Oh
Yongseop Jeong
Donggeun Yoo
Stephen Lin
In So Kweon
SSL
9
11
0
16 Sep 2019
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Priya Goyal
D. Mahajan
Abhinav Gupta
Ishan Misra
SSL
24
396
0
03 May 2019
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors
Weicheng Kuo
A. Angelova
Jitendra Malik
Tsung-Yi Lin
3DPC
ISeg
16
117
0
05 Apr 2019
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
191
498
0
11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
165
666
0
07 Jun 2018
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
245
890
0
11 Nov 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
278
11,677
0
09 Mar 2017
1