2 citations · 3 across the 26 of their papers we have counts for
4 papers · 1 filter
Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning
Yan Li, Weiwei Guo, Xue Yang +4
An increasingly massive number of remote-sensing images spurs the development of extensible object detectors that can detect objects beyond training categories without costly colle…
On the Evaluation and Refinement of Vision-Language Instruction Tuning Datasets
Ning Liao, Shaofeng Zhang, Renqiu Xia +3
There is an emerging line of research on multimodal instruction tuning, and a line of benchmarks has been proposed for evaluating these models recently. Instead of evaluating the m…
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios
Ning Liao, Xiaopeng Zhang, Min Cao +1
In realistic open-set scenarios where labels of a part of testing data are totally unknown, when vision-language (VL) prompt learning methods encounter inputs related to unknown cl…
Rethinking Visual Prompt Learning as Masked Visual Token Modeling
Ning Liao, Bowen Shi, Xiaopeng Zhang +3
Prompt learning has achieved great success in efficiently exploiting large-scale pre-trained models in natural language processing (NLP). It reformulates the downstream tasks as th…