LinkNet: Exploiting Encoder Representations for Efficient Semantic
  Segmentation

LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation

Visual Communications and Image Processing (VCIP), 2017
    SSeg

Papers citing "LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation"

50 / 276 papers shown
Title
PaveSAM Segment Anything for Pavement Distress
PaveSAM Segment Anything for Pavement DistressInternational Journal on Road Materials and Pavement Design (JRMPD), 2024
110
12
0
11 Sep 2024
A Fair Evaluation of Various Deep Learning-Based Document Image
  Binarization Approaches
A Fair Evaluation of Various Deep Learning-Based Document Image Binarization ApproachesInternational Workshop on Document Analysis Systems (DAS), 2024
Richin Sukesh
Mathias Seuret
Anguelos Nicolaou
Martin Mayr
Vincent Christlein
150
2
0
22 Jan 2024

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