https://github.com/jm199504/VGG-NET
Very Deep Convolutional Networks for Large-Scale Image Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Action Localization is finding the spatial and temporal co ordinates for an action in a video. An action localization model will identify which frame an action start and ends in video and return the x,y coordinates of an action. Further the co ordinates will change when the object performing action undergoes a displacement.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Learning from Video and Text via Large-Scale Discriminative Clustering
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
A Closer Look at Spatiotemporal Convolutions for Action Recognition
A Closer Look at Spatiotemporal Convolutions for Action Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
A Closer Look at Spatiotemporal Convolutions for Action Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
One Thousand and One Hours: Self-driving Motion Prediction Dataset
Very Deep Convolutional Networks for Large-Scale Image Recognition
MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving
Very Deep Convolutional Networks for Large-Scale Image Recognition
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
A Closer Look at Spatiotemporal Convolutions for Action Recognition
Semi-Supervised Classification with Graph Convolutional Networks
A Closer Look at Spatiotemporal Convolutions for Action Recognition
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
One Thousand and One Hours: Self-driving Motion Prediction Dataset
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.