Weakly supervised training of universal visual concepts for multi-domain semantic segmentation

20 December 2022

Papers citing "Weakly supervised training of universal visual concepts for multi-domain semantic segmentation"

5 / 5 papers shown

Title
Knowledge Distillation for Semantic Segmentation: A Label Space Unification Approach Anton Backhaus Thorsten Luettel Mirko Maehlisch 43 0 0 26 Feb 2025
Fine-grained Classes and How to Find Them Matej Grcić Artyom Gadetsky Maria Brbić 32 1 0 16 Jun 2024
Dynamic loss balancing and sequential enhancement for road-safety assessment and traffic scene classification Marin Kavcan Marko Sevrovic Sinivsa vSegvić 19 1 0 08 Nov 2022
Simple multi-dataset detection Xingyi Zhou V. Koltun Philipp Krahenbuhl ObjD 236 112 0 25 Feb 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,639 0 02 Nov 2015