From the 1 of 44 linked papers with an AI index.
121 citations · 374 across the 32 of their papers we have counts for
38 papers · 1 filter
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval
Deunsol Jung, Dahyun Kang, Suha Kwak +1
Metric learning aims to build a distance metric typically by learning an effective embedding function that maps similar objects into nearby points in its embedding space. Despite r…
Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks
Hyolim Kang, Hanjung Kim, Joungbin An +2
Temporal Action Localization (TAL) methods typically operate on top of feature sequences from a frozen snippet encoder that is pretrained with the Trimmed Action Classification (TA…
Future Transformer for Long-term Action Anticipation
Dayoung Gong, Joonseok Lee, Manjin Kim +2
The task of predicting future actions from a video is crucial for a real-world agent interacting with others. When anticipating actions in the distant future, we humans typically c…
TransforMatcher: Match-to-Match Attention for Semantic Correspondence
Seungwook Kim, Juhong Min, Minsu Cho
Establishing correspondences between images remains a challenging task, especially under large appearance changes due to different viewpoints or intra-class variations. In this wor…
Self-Taught Metric Learning without Labels
Sungyeon Kim, Dongwon Kim, Minsu Cho +1
We present a novel self-taught framework for unsupervised metric learning, which alternates between predicting class-equivalence relations between data through a moving average of…
Integrative Few-Shot Learning for Classification and Segmentation
Dahyun Kang, Minsu Cho
We introduce the integrative task of few-shot classification and segmentation (FS-CS) that aims to both classify and segment target objects in a query image when the target classes…