COCA: Classifier-Oriented Calibration via Textual Prototype for
Source-Free Universal Domain Adaptation

COCA: Classifier-Oriented Calibration via Textual Prototype for Source-Free Universal Domain Adaptation

21 August 2023

Xinghong Liu

Papers citing "COCA: Classifier-Oriented Calibration via Textual Prototype for Source-Free Universal Domain Adaptation"

9 / 9 papers shown

Title
Analysis of Pseudo-Labeling for Online Source-Free Universal Domain Adaptation Pascal Schlachter Jonathan Fuss Bin Yang 28 0 0 16 Apr 2025
Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model Pascal Schlachter Simon Wagner Bin Yang TTA 38 1 0 19 Jul 2024
Upcycling Models under Domain and Category Shift Sanqing Qu Tianpei Zou Florian Roehrbein Cewu Lu Guang-Sheng Chen Dacheng Tao Changjun Jiang 35 40 0 13 Mar 2023
Subsidiary Prototype Alignment for Universal Domain Adaptation Jogendra Nath Kundu Suvaansh Bhambri Akshay Ravindra Kulkarni Hiran Sarkar Varun Jampani R. Venkatesh Babu 30 21 0 28 Oct 2022
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 322 2,249 0 02 Sep 2021
On the Effectiveness of Image Rotation for Open Set Domain Adaptation S. Bucci Mohammad Reza Loghmani Tatiana Tommasi 46 142 0 24 Jul 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation Zhedong Zheng Yi Yang NoLa 174 496 0 08 Mar 2020
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation Jian Liang Yunbo Wang Dapeng Hu R. He Jiashi Feng 135 105 0 05 Mar 2020
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 149 9,316 0 28 May 2015