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Semantic Segmentation Refinement by Monte Carlo Region Growing of High
  Confidence Detections

Semantic Segmentation Refinement by Monte Carlo Region Growing of High Confidence Detections

21 February 2018
P. Dias
Henry Medeiros
    SSeg
ArXivPDFHTML

Papers citing "Semantic Segmentation Refinement by Monte Carlo Region Growing of High Confidence Detections"

6 / 6 papers shown
Title
GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation
GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation
Boris Kriuk
Matey Yordanov
31
0
0
02 May 2025
Think Before You Segment: High-Quality Reasoning Segmentation with GPT Chain of Thoughts
Think Before You Segment: High-Quality Reasoning Segmentation with GPT Chain of Thoughts
Shiu-hong Kao
Yu-Wing Tai
Chi-Keung Tang
LRM
MLLM
49
0
0
10 Mar 2025
AgRegNet: A Deep Regression Network for Flower and Fruit Density Estimation, Localization, and Counting in Orchards
AgRegNet: A Deep Regression Network for Flower and Fruit Density Estimation, Localization, and Counting in Orchards
Uddhav Bhattarai
Santosh Bhusal
Qin Zhang
Manoj Karkee
99
1
0
20 Jan 2025
Mining Contextual Information Beyond Image for Semantic Segmentation
Mining Contextual Information Beyond Image for Semantic Segmentation
Zhenchao Jin
Tao Gong
Dongdong Yu
Qi Chu
Jian Wang
Changhu Wang
Jie Shao
24
88
0
26 Aug 2021
Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation
Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation
U. Demir
Atahan Ozer
Y. Sahin
Gözde B. Ünal
19
3
0
06 Aug 2021
Superpixels: An Evaluation of the State-of-the-Art
Superpixels: An Evaluation of the State-of-the-Art
David Stutz
Alexander Hermans
Bastian Leibe
SupR
61
468
0
06 Dec 2016
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