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Found 4 papers, 2 papers with code
Towards Diverse Temporal Grounding under Single Positive Labels
In this study, we reformulate this task as a one-vs-many optimization problem under the condition of single positive labels.
RLM-Tracking: Online Multi-Pedestrian Tracking Supported by Relative Location Mapping
The problem of multi-object tracking is a fundamental computer vision research focus, widely used in public safety, transport, autonomous vehicles, robotics, and other regions involving artificial intelligence.
Embracing Uncertainty: Decoupling and De-bias for Robust Temporal Grounding
Meanwhile, modified feature assigned with style-like words (including adjectives, adverbs, etc) represents the subjective information, and thus brings personalized predictions; De-bias - We propose a de-bias mechanism to generate diverse predictions, aim to alleviate the bias caused by single-style annotations in the presence of label uncertainty.
Visual Relationship Detection with Relative Location Mining
Visual relationship detection, as a challenging task used to find and distinguish the interactions between object pairs in one image, has received much attention recently.
