Learn from the Learnt: Source-Free Active Domain Adaptation via
Contrastive Sampling and Visual Persistence

Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence

26 July 2024

Hui Chen

Jungong Han

Papers citing "Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence"

6 / 6 papers shown

Title
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding Sicong Leng Hang Zhang Guanzheng Chen Xin Li Shijian Lu Chunyan Miao Li Bing VLM MLLM 82 196 0 28 Nov 2023
SALAD: Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection D. Kothandaraman Sumit Shekhar Abhilasha Sancheti Manoj Ghuhan Arivazhagan Tripti Shukla Dinesh Manocha VLM 36 11 0 24 May 2022
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data Jiaxing Huang Dayan Guan Aoran Xiao Shijian Lu 126 210 0 07 Oct 2021
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer Jian Liang Dapeng Hu Yunbo Wang R. He Jiashi Feng 128 249 0 14 Dec 2020
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings Viraj Prabhu Arjun Chandrasekaran Kate Saenko Judy Hoffman OOD 87 119 0 16 Oct 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 9,300 0 28 May 2015