WALT
We introduce a new dataset, Watch and Learn Time-lapse (WALT), consisting of multiple (4K and 1080p) cameras capturing urban environments over a year.
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Image Instance Retrieval is the problem of retrieving images from a database representing the same object or scene as the one depicted in a query image.
Source: Compression of Deep Neural Networks for Image Instance Retrieval
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We introduce a new dataset, Watch and Learn Time-lapse (WALT), consisting of multiple (4K and 1080p) cameras capturing urban environments over a year.
MOViD-A is a video-based synthesized dataset. We create it from MOVi dataset for amodal segmentation. The virtual camera is set to go around the scene, capturing about 24 consecutive frames. We randomly place 10 ∼ 20 static objects that heavily occlude each other in the scene. Finally, we collect 630 and 208 videos for training and testing.
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.