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Towards Emergent Language Symbolic Semantic Segmentation and Model
  Interpretability

Towards Emergent Language Symbolic Semantic Segmentation and Model Interpretability

18 July 2020
Alberto Santamaria-Pang
James R. Kubricht
Aritra Chowdhury
Chitresh Bhushan
Peter Tu
    MedIm
ArXivPDFHTML

Papers citing "Towards Emergent Language Symbolic Semantic Segmentation and Model Interpretability"

6 / 6 papers shown
Title
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
Hugo Porta
Emanuele Dalsasso
Diego Marcos
D. Tuia
95
0
0
14 Sep 2024
A Review of the Applications of Deep Learning-Based Emergent
  Communication
A Review of the Applications of Deep Learning-Based Emergent Communication
Brendon Boldt
David R. Mortensen
VLM
34
6
0
03 Jul 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and
  Beyond: A Survey
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey
Rokas Gipiškis
Chun-Wei Tsai
Olga Kurasova
61
5
0
02 May 2024
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts
Mikolaj Sacha
Dawid Rymarczyk
Lukasz Struski
Jacek Tabor
Bartosz Zieliñski
VLM
35
29
0
28 Jan 2023
Transparency of Deep Neural Networks for Medical Image Analysis: A
  Review of Interpretability Methods
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods
Zohaib Salahuddin
Henry C. Woodruff
A. Chatterjee
Philippe Lambin
18
302
0
01 Nov 2021
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
257
3,684
0
28 Feb 2017
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