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Found 7 papers, 1 papers with code
Single Stage Warped Cloth Learning and Semantic-Contextual Attention Feature Fusion for Virtual TryOn
To achieve simultaneous learning of warped garment and try-on results, we introduce a Warped Cloth Learning Module.
MaskMTL: Attribute prediction in masked facial images with deep multitask learning
Predicting attributes in the landmark free facial images is itself a challenging task which gets further complicated when the face gets occluded due to the usage of masks.
ADAADepth: Adapting Data Augmentation and Attention for Self-Supervised Monocular Depth Estimation
We utilise a ResNet18 encoder, learning features for prediction of both depth and pose.
Deep feature fusion for self-supervised monocular depth prediction
Recent advances in end-to-end unsupervised learning has significantly improved the performance of monocular depth prediction and alleviated the requirement of ground truth depth.
Aerial multi-object tracking by detection using deep association networks
Using the RetinaNet model as our base, we modify the anchor scales to better handle the detection of dense distribution and small size of the objects.
Fast Hierarchical Depth Map Computation from Stereo
Disparity by Block Matching stereo is usually used in applications with limited computational power in order to get depth estimates.
Nrityantar: Pose oblivious Indian classical dance sequence classification system
To circumvent this problem, we construct a pose-oblivious shape signature which is fed to a sequence learning framework.
