https://github.com/zgx0534/pointnet_win
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Action Detection aims to find both where and when an action occurs within a video clip and classify what the action is taking place. Typically results are given in the form of action tublets, which are action bounding boxes linked across time in the video. This is related to temporal localization, which seeks to identify the start and end frame of an action, and action recognition, which seeks only to classify which action is taking place and typically assumes a trimmed video.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Semi-Supervised Classification with Graph Convolutional Networks
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding
You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.