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Interpreting Representation Quality of DNNs for 3D Point Cloud
  Processing

Interpreting Representation Quality of DNNs for 3D Point Cloud Processing

5 November 2021
Wen Shen
Qihan Ren
Dongrui Liu
Quanshi Zhang
    3DPC
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Papers citing "Interpreting Representation Quality of DNNs for 3D Point Cloud Processing"

5 / 5 papers shown
Title
SEER: Self-Explainability Enhancement of Large Language Models' Representations
SEER: Self-Explainability Enhancement of Large Language Models' Representations
Guanxu Chen
Dongrui Liu
Tao Luo
Jing Shao
LRM
MILM
67
1
0
07 Feb 2025
Does a Neural Network Really Encode Symbolic Concepts?
Does a Neural Network Really Encode Symbolic Concepts?
Mingjie Li
Quanshi Zhang
29
30
0
25 Feb 2023
Explanation-based Counterfactual Retraining(XCR): A Calibration Method
  for Black-box Models
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models
Liu Zhendong
Wenyu Jiang
Yan Zhang
Chongjun Wang
CML
11
0
0
22 Jun 2022
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,109
0
02 Dec 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,842
0
08 Jul 2016
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