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The Illustrated FixMatch for Semi-Supervised Learning
Learn how to leverage unlabeled data using FixMatch for semi-supervised learning
semi-supervised-learning computer-vision pytorch illustrated-series
Self-Supervised Scene De-occlusion
We investigate the problem of scene de-occlusion, which aims to recover the underlying occlusion ordering and complete the invisible parts of occluded ...
self-supervised-learning computer-vision de-occlusion research
Cycle Text-To-Image GAN with BERT
Image generation from their respective captions, building on state-of-the-art GAN architectures.
generative-adversarial-networks bert transformers image-to-text
Learning to See before Learning to Act: Visual Pre-training
We find that pre-training on vision tasks significantly improves generalization and sample efficiency for learning to manipulate objects.
computer-vision transfer-learning robotics affordance
TransMoMo: Invariance-Driven Unsupervised Motion Retargeting
A lightweight video motion retargeting approach that is capable of transferring motion of a person in a source video realistically to another video of a ...
motion-generation video retargeting transmomo
BachGAN: High-Res Image Synthesis from Salient Object Layout
We propose a new task towards more practical application for image generation - high-quality image synthesis from salient object layout.
generative-adversarial-networks salient-object-layout image-generation image-synthesis
SOLT: Data Augmentation for Deep Learning
Data augmentation library for Deep Learning, which supports images, segmentation masks, labels and key points.
data-augmentation image-segmentation deep-learning pytorch
NeRF: Neural Radiance Fields
Representing scenes as neural radiance fields for view synthesis.
computer-vision view-synthesis 5d research
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