Knowledge Distillation for Incremental Learning in Semantic Segmentation

Knowledge Distillation for Incremental Learning in Semantic Segmentation

8 November 2019

Umberto Michieli

Pietro Zanuttigh

Papers citing "Knowledge Distillation for Incremental Learning in Semantic Segmentation"

12 / 12 papers shown

Title
Achieving Upper Bound Accuracy of Joint Training in Continual Learning Saleh Momeni Bing Liu CLL 82 1 0 17 Feb 2025
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method Kishaan Jeeveswaran Elahe Arani Bahram Zonooz CLL 39 3 0 23 Jun 2024
Semantic Image Segmentation: Two Decades of Research G. Csurka Riccardo Volpi Boris Chidlovskii 3DV 24 49 0 13 Feb 2023
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management Jun S. Song Kwanyong Park Inkyu Shin Sanghyun Woo Chaoning Zhang In So Kweon TTA 16 6 0 16 Dec 2022
Learning with Style: Continual Semantic Segmentation Across Tasks and Domains Marco Toldo Umberto Michieli Pietro Zanuttigh CLL VLM 33 5 0 13 Oct 2022
Online Refinement of a Scene Recognition Model for Mobile Robots by Observing Human's Interaction with Environments Shigemichi Matsuzaki Hiroaki Masuzawa J. Miura 21 0 0 13 Aug 2022
Incremental Learning in Semantic Segmentation from Image Labels Fabio Cermelli Dario Fontanel A. Tavera Marco Ciccone Barbara Caputo VLM CLL 25 47 0 03 Dec 2021
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation Sumanth Chennupati Mohammad Mahdi Kamani Zhongwei Cheng Lin Chen 19 4 0 19 Oct 2021
CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation Minhan Kim Shahroz Tariq Simon S. Woo CLL 11 48 0 06 Jul 2021
Co-advise: Cross Inductive Bias Distillation Sucheng Ren Zhengqi Gao Tianyu Hua Zihui Xue Yonglong Tian Shengfeng He Hang Zhao 42 53 0 23 Jun 2021
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild Umberto Michieli E. Borsato Luca Rossi Pietro Zanuttigh 18 39 0 17 Jul 2020
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels Marvin Klingner Andreas Bär Philipp Donn Tim Fingscheidt CLL 11 45 0 12 May 2020