SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning

SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning

29 September 2023

Kodai Nakashima

Hirokatsu Kataoka

Papers citing "SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning"

10 / 10 papers shown

Title
VibrantLeaves: A principled parametric image generator for training deep restoration models Raphaël Achddou Y. Gousseau Saïd Ladjal Sabine Süsstrunk 26 0 0 14 Apr 2025
Formula-Supervised Sound Event Detection: Pre-Training Without Real Data Yuto Shibata Keitaro Tanaka Yoshiaki Bando Keisuke Imoto Hirokatsu Kataoka Yoshimitsu Aoki 26 0 0 06 Apr 2025
MoireDB: Formula-generated Interference-fringe Image Dataset Yuto Matsuo Ryo Hayamizu Hirokatsu Kataoka Akio Nakamura 37 0 0 03 Feb 2025
Formula-Supervised Visual-Geometric Pre-training Ryosuke Yamada Kensho Hara Hirokatsu Kataoka Koshi Makihara Nakamasa Inoue Rio Yokota Y. Satoh 21 1 0 20 Sep 2024
Exploring Limits of Diffusion-Synthetic Training with Weakly Supervised Semantic Segmentation Ryota Yoshihashi Yuya Otsuka Kenji Doi Tomohiro Tanaka Hirokatsu Kataoka 24 1 0 04 Sep 2023
Improving Fractal Pre-training Connor Anderson Ryan Farrell 80 27 0 06 Oct 2021
Pre-training without Natural Images Hirokatsu Kataoka Kazushige Okayasu Asato Matsumoto Eisuke Yamagata Ryosuke Yamada Nakamasa Inoue Akio Nakamura Y. Satoh 79 116 0 21 Jan 2021
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation Zhedong Zheng Yi Yang NoLa 174 497 0 08 Mar 2020
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 216 789 0 26 Aug 2019
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 435 15,631 0 02 Nov 2015