36 citations · 62 across the 7 of their papers we have counts for
7 papers
RSGPT: A Remote Sensing Vision Language Model and Benchmark
Yuan Hu, Jianlong Yuan, Congcong Wen +2
The emergence of large-scale large language models, with GPT-4 as a prominent example, has significantly propelled the rapid advancement of artificial general intelligence and spar…
UniNeXt: Exploring A Unified Architecture for Vision Recognition
Fangjian Lin, Jianlong Yuan, Sitong Wu +2
Vision Transformers have shown great potential in computer vision tasks. Most recent works have focused on elaborating the spatial token mixer for performance gains. However, we ob…
Semantic Data Augmentation based Distance Metric Learning for Domain Generalization
Mengzhu Wang, Jianlong Yuan, Qi Qian +2
Domain generalization (DG) aims to learn a model on one or more different but related source domains that could be generalized into an unseen target domain. Existing DG methods try…
FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation
Jianlong Yuan, Qian Qi, Fei Du +3
In this work, we explore data augmentations for knowledge distillation on semantic segmentation. To avoid over-fitting to the noise in the teacher network, a large number of traini…
Semi-supervised Semantic Segmentation with Mutual Knowledge Distillation
Jianlong Yuan, Jinchao Ge, Zhibin Wang +1
Consistency regularization has been widely studied in recent semisupervised semantic segmentation methods, and promising performance has been achieved. In this work, we propose a n…
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation
Jianlong Yuan, Yifan Liu, Chunhua Shen +2
Recently, significant progress has been made on semantic segmentation. However, the success of supervised semantic segmentation typically relies on a large amount of labelled data,…
Multi Receptive Field Network for Semantic Segmentation
Jianlong Yuan, Zelu Deng, Shu Wang +1
Semantic segmentation is one of the key tasks in computer vision, which is to assign a category label to each pixel in an image. Despite significant progress achieved recently, mos…