Spatial-temporal knowledge-embedded transformer for video scene graph generation
Video scene graph generation (VidSGG) aims to identify objects in visual scenes and infer
their relationships for a given video. It requires not only a comprehensive understanding of …
their relationships for a given video. It requires not only a comprehensive understanding of …
QDETRv: Query-Guided DETR for One-Shot Object Localization in Videos
In this work, we study one-shot video object localization problem that aims to localize
instances of unseen objects in the target video using a single query image of the object …
instances of unseen objects in the target video using a single query image of the object …
PDSE-Lite: lightweight framework for plant disease severity estimation based on Convolutional Autoencoder and Few-Shot Learning
Plant disease diagnosis with estimation of disease severity at early stages still remains a
significant research challenge in agriculture. It is helpful in diagnosing plant diseases at the …
significant research challenge in agriculture. It is helpful in diagnosing plant diseases at the …
CHAPVIDMR: Chapter-based Video Moment Retrieval using Natural Language Queries
Video Moment Retrieval (VMR) is the task of linking a query with a relevant moment from a
video. Although, recently, there has been work on the VMR task where a query is linked to a …
video. Although, recently, there has been work on the VMR task where a query is linked to a …
[PDF][PDF] Supplementary Material: Few-Shot Referring Relationships in Videos
The goal of this module is to propose relationship pair proposals. Given a video v, the first
tracklet set Te is extracted using a pre-trained detector. An attention score is calculated for …
tracklet set Te is extracted using a pre-trained detector. An attention score is calculated for …