Synthetic dataset of a realistic scenario that simulates the scene captured by a robot equipped with 6 cameras for training and photos taken by visitors for testing.
Targets challenges such as varying lighting conditions and different occlusion levels for tasks such as depth estimation, instance segmentation and visual localization.
Manually annotated ABSA dataset from Foursquare comments.
585 samples (1006 sentences) randomly selected and annotated with the SemEval2016 annotation guidelines for the restaurant domain.
A lightweight library to deal with 3D rotations in PyTorch.
Theoretical and experimental findings to improve regression applications.
End-to-end learning of deep visual representations for image retrieval.
Repository contains models and evaluation scripts of papers ‘End-to-end Learning of Deep Visual Representations for Image Retrieval’ & ‘Learning with Average Precision: Training Image Retrieval with a Listwise Loss’.
A diverse, realistic and physically plausible dataset of human action videos.
Contains 39,982 videos, with more than 1,000 examples for each action of 35 categories.