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Found 7 papers, 3 papers with code
In-Context Data Distillation with TabPFN
Foundation models have revolutionized tasks in computer vision and natural language processing.
Attributed Network Embedding Model for Exposing COVID-19 Spread Trajectory Archetypes
To this end, this study creates a network embedding model capturing cross-county visitation networks, as well as heterogeneous features to uncover clusters of counties in the United States based on their pandemic spread transmission trajectories.
X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval
Instead, texts often capture sub-regions of entire videos and are most semantically similar to certain frames within videos.
Ranked #17 on
Video Retrieval
on LSMDC
(using extra training data)
Weakly Supervised Action Selection Learning in Video
A common approach is to train a frame-level classifier where frames with the highest class probability are selected to make a video-level prediction.
Ranked #4 on
Weakly Supervised Action Localization
on FineAction
Guided Similarity Separation for Image Retrieval
Despite recent progress in computer vision, image retrieval remains a challenging open problem.
Cross-Class Relevance Learning for Temporal Concept Localization
We present a novel Cross-Class Relevance Learning approach for the task of temporal concept localization.
Semi-Supervised Exploration in Image Retrieval
We present our solution to Landmark Image Retrieval Challenge 2019.
