4 papers · 1 filter
SpikeTAD: Spiking Neural Networks for End-to-End Temporal Action Detection
Min Yang, Mi Zhou, Limin Wang
Video understanding is a crucial part of computer vision, with numerous application scenarios. With the increasing popularity of mobile devices, an increasing number of efforts are…
Joint Modeling of Feature, Correspondence, and a Compressed Memory for Video Object Segmentation
Jiaming Zhang, Yutao Cui, Gangshan Wu +1
Current prevailing Video Object Segmentation methods follow the pipeline of extraction-then-matching, which first extracts features on current and reference frames independently, a…
Open-Vocabulary Spatio-Temporal Action Detection
Tao Wu, Shuqiu Ge, Jie Qin +2
Spatio-temporal action detection (STAD) is an important fine-grained video understanding task. Current methods require box and label supervision for all action classes in advance.…
STMixer: A One-Stage Sparse Action Detector
Tao Wu, Mengqi Cao, Ziteng Gao +2
Traditional video action detectors typically adopt the two-stage pipeline, where a person detector is first employed to generate actor boxes and then 3D RoIAlign is used to extract…