Search Results for author:
Found 6 papers, 1 papers with code
Motion State: A New Benchmark Multiple Object Tracking
Furthermore, to gauge the method's adeptness in discerning object motion states, we introduce the Motion State Validation F1 (MVF1) metric.
MO-YOLO: End-to-End Multiple-Object Tracking Method with YOLO and Decoder
In the field of multi-object tracking (MOT), recent Transformer based end-to-end models like MOTR have demonstrated exceptional performance on datasets such as DanceTracker.
A Creative Industry Image Generation Dataset Based on Captions
Most image generation methods are difficult to precisely control the properties of the generated images, such as structure, scale, shape, etc., which limits its large-scale application in creative industries such as conceptual design and graphic design, and so on.
Towards Micro-video Thumbnail Selection via a Multi-label Visual-semantic Embedding Model
Towards this end, we present a multi-label visual-semantic embedding model to estimate the similarity between the pair of each frame and the popular topics that users are interested in.
A Benchmark Dataset for Micro-video Thumbnail Selection
Towards this end, we construct a large-scale dataset for the micro-video thumbnails.
Hardness Sampling for Self-Training Based Transductive Zero-Shot Learning
Addressing this problem, we first empirically analyze the roles of unseen-class samples with different degrees of hardness in the training process based on the uneven prediction phenomenon found in many ZSL methods, resulting in three observations.
