Gradient-based Class Weighting for Unsupervised Domain Adaptation in Dense Prediction Visual Tasks

1 July 2024

Papers citing "Gradient-based Class Weighting for Unsupervised Domain Adaptation in Dense Prediction Visual Tasks"

5 / 5 papers shown

Title
GBT-SAM: Adapting a Foundational Deep Learning Model for Generalizable Brain Tumor Segmentation via Efficient Integration of Multi-Parametric MRI Data Cecilia Diana-Albelda Roberto Alcover-Couso Álvaro García-Martín Jesús Bescós Marcos Escudero-Viñolo 32 1 0 06 Mar 2025
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation Suman Saha Lukas Hoyer Anton Obukhov Dengxin Dai Luc Van Gool 47 15 0 27 Apr 2023
Upcycling Models under Domain and Category Shift Sanqing Qu Tianpei Zou Florian Roehrbein Cewu Lu Guang-Sheng Chen Dacheng Tao Changjun Jiang 33 39 0 13 Mar 2023
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank Inigo Alonso Alberto Sabater David Ferstl Luis Montesano Ana C. Murillo SSL CLL 116 177 0 27 Apr 2021
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation Michael Yeung Evis Sala Carola-Bibiane Schönlieb L. Rundo 20 387 0 08 Feb 2021