Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain
Adaptive Semantic Segmentation

Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation

15 December 2020

Luc Van Gool

Papers citing "Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation"

7 / 7 papers shown

Title
Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization Cho-Ying Wu Yiqi Zhong Junying Wang Ulrich Neumann MDE 57 0 0 04 Sep 2024
Semantic Image Segmentation: Two Decades of Research G. Csurka Riccardo Volpi Boris Chidlovskii 3DV 24 50 0 13 Feb 2023
VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions Mingjiang Li Binhui Xie Shuang Li Chi Harold Liu Xinjing Cheng 17 12 0 22 Nov 2022
ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation Fei Pan S. Hur Seokju Lee Junsik Kim In So Kweon 27 11 0 19 Jul 2022
Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation Marvin Klingner Mouadh Ayache Tim Fingscheidt 14 12 0 02 Mar 2022
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation Jogendra Nath Kundu Akshay Ravindra Kulkarni Suvaansh Bhambri Varun Jampani R. Venkatesh Babu 31 11 0 09 Feb 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,677 0 09 Mar 2017