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Motion-Guided Masking for Spatiotemporal Representation Learning
This suggests that the random masking strategy that is inherited from the image MAE is less effective for video MAE.
MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation
Previous research has studied the task of segmenting cinematic videos into scenes and into narrative acts.
Nearest-Neighbor Inter-Intra Contrastive Learning from Unlabeled Videos
Contrastive learning has recently narrowed the gap between self-supervised and supervised methods in image and video domain.
Shot Contrastive Self-Supervised Learning for Scene Boundary Detection
To assess the effectiveness of ShotCoL on novel applications of scene boundary detection, we take on the problem of finding timestamps in movies and TV episodes where video-ads can be inserted while offering a minimally disruptive viewing experience.
OASIS: A Large-Scale Dataset for Single Image 3D in the Wild
Single-view 3D is the task of recovering 3D properties such as depth and surface normals from a single image.
