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Task Indicating Transformer for Task-conditional Dense Predictions
The task-conditional model is a distinctive stream for efficient multi-task learning.
RAFT-MSF: Self-Supervised Monocular Scene Flow using Recurrent Optimizer
Self-supervised methods demonstrate learning scene flow estimation from unlabeled data, yet their accuracy lags behind (semi-)supervised methods.
Temporal Continuity Based Unsupervised Learning for Person Re-Identification
Most existing person re-id methods generally require a large amount of identity labeled data to act as discriminative guideline for representation learning.
FH-GAN: Face Hallucination and Recognition using Generative Adversarial Network
One of the most important problem is low resolution face images which can result in bad performance on face recognition.
Spatial Shortcut Network for Human Pose Estimation
Like many computer vision problems, human pose estimation is a challenging problem in that recognizing a body part requires not only information from local area but also from areas with large spatial distance.
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