Bounding boxes for weakly supervised segmentation: Global constraints
get close to full supervision

Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision

14 April 2020

Jose Dolz

Ismail Ben Ayed

Papers citing "Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision"

17 / 17 papers shown

Title
Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological Images Aayushi Tyagi Vaibhav Mishra AP Prathosh Mausam VLM 40 1 0 29 Nov 2023
Efficient Subclass Segmentation in Medical Images Linrui Dai Wenhui Lei Xiaofan Zhang 13 1 0 01 Jul 2023
CQnet: convex-geometric interpretation and constraining neural-network trajectories B. Peters 24 0 0 09 Feb 2023
Weakly Supervised Image Segmentation Beyond Tight Bounding Box Annotations Juan Wang Bin Xia 22 5 0 28 Jan 2023
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification Adrien Bennetot Gianni Franchi Javier Del Ser Raja Chatila Natalia Díaz Rodríguez AAML 25 29 0 26 Sep 2022
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation Jeffry Wicaksana Zengqiang Yan Dong Zhang Xijie Huang Huimin Wu Xin Yang Kwang-Ting Cheng FedML 25 49 0 04 May 2022
Polar Transformation Based Multiple Instance Learning Assisting Weakly Supervised Image Segmentation With Loose Bounding Box Annotations Juan Wang Bin Xia ISeg 19 2 0 03 Mar 2022
Semantic Segmentation In-the-Wild Without Seeing Any Segmentation Examples Nir Zabari Yedid Hoshen VLM 20 26 0 06 Dec 2021
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris 21 5 0 26 Aug 2021
Source-Free Domain Adaptation for Image Segmentation M. Bateson H. Kervadec Jose Dolz H. Lombaert Ismail Ben Ayed OOD MedIm 126 65 0 06 Aug 2021
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation Simon Reiß C. Seibold Alexander Freytag E. Rodner Rainer Stiefelhagen 82 61 0 27 Apr 2021
Teach me to segment with mixed supervision: Confident students become masters Jose Dolz Christian Desrosiers Ismail Ben Ayed 6 25 0 15 Dec 2020
CNN-based Lung CT Registration with Multiple Anatomical Constraints Alessa Hering Stephanie Häger J. Moltz Nikolas Lessmann Stefan Heldmann Bram van Ginneken 14 62 0 29 Nov 2020
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey Rosana El Jurdia Caroline Petitjean P. Honeine V. Cheplygina F. Abdallah SSeg MedIm 25 79 0 16 Nov 2020
Point-to-set distance functions for weakly supervised segmentation B. Peters 6 1 0 27 Jul 2020
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 278 10,608 0 19 Feb 2017
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 216 2,055 0 07 Jun 2016