Search Results for author:
Found 5 papers, 2 papers with code
Learning Pseudo-Labeler beyond Noun Concepts for Open-Vocabulary Object Detection
Specifically, the proposed method aims to learn arbitrary image-to-text mapping for pseudo-labeling of arbitrary concepts, named Pseudo-Labeling for Arbitrary Concepts (PLAC).
Semantic Grouping Network for Video Captioning
This paper considers a video caption generating network referred to as Semantic Grouping Network (SGN) that attempts (1) to group video frames with discriminating word phrases of partially decoded caption and then (2) to decode those semantically aligned groups in predicting the next word.
VLANet: Video-Language Alignment Network for Weakly-Supervised Video Moment Retrieval
This paper explores methods for performing VMR in a weakly-supervised manner (wVMR): training is performed without temporal moment labels but only with the text query that describes a segment of the video.
Pivot Correlational Neural Network for Multimodal Video Categorization
The architecture is trained to maximizes the correlation between the hidden states as well as the predictions of the modal-agnostic pivot stream and modal-specific stream in the network.
A Resizable Mini-batch Gradient Descent based on a Multi-Armed Bandit
Determining the appropriate batch size for mini-batch gradient descent is always time consuming as it often relies on grid search.
