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Found 5 papers, 1 papers with code
Learning to Compose Diversified Prompts for Image Emotion Classification
We first introduce a prompt tuning method that mimics the pretraining objective of CLIP and thus can leverage the rich image and text semantics entailed in CLIP.
Fusing Motion Patterns and Key Visual Information for Semantic Event Recognition in Basketball Videos
Based on the observations, we propose a scheme to fuse global and local motion patterns (MPs) and key visual information (KVI) for semantic event recognition in basketball videos.
Group Activity Recognition by Using Effective Multiple Modality Relation Representation With Temporal-Spatial Attention
Then, we propose two types of inference models, opt-GRU and relation-GRU, which are used to encode the object relationship and motion representation effectively, and form the discriminative frame-level feature representation.
Ranked #4 on
Group Activity Recognition
on Volleyball
LFFD: A Light and Fast Face Detector for Edge Devices
Under the new schema, the proposed method can achieve superior accuracy (WIDER FACE Val/Test -- Easy: 0. 910/0. 896, Medium: 0. 881/0. 865, Hard: 0. 780/0. 770; FDDB -- discontinuous: 0. 973, continuous: 0. 724).
Ranked #6 on
Face Detection
on FDDB
Ontology Based Global and Collective Motion Patterns for Event Classification in Basketball Videos
Therefore, a semantic event in broadcast basketball videos is closely related to both the global motion (camera motion) and the collective motion.
