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Found 5 papers, 4 papers with code
Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection
We introduce a detection framework for dense crowd counting and eliminate the need for the prevalent density regression paradigm.
Ranked #7 on
Crowd Counting
on UCF CC 50
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
Previous approaches for unsupervised object-oriented scene representation learning are either based on spatial-attention or scene-mixture approaches and limited in scalability which is a main obstacle towards modeling real-world scenes.
Deep Cross Modal Learning for Caricature Verification and Identification(CaVINet)
Further, recognizing the identity in the image by knowledge transfer using a combination of shared and modality specific representations, resulted in an unprecedented performance of 85% rank-1 accuracy for caricatures and 95% rank-1 accuracy for visual images.
DisguiseNet : A Contrastive Approach for Disguised Face Verification in the Wild
The experiments show the effectiveness of the approach on the DFW data.
MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net For Multi-Modal Alzheimer's Classification
The accuracy using only MRI is 70. 18% while joint classification using synthesized PET and MRI is 74. 43% with a p-value of $0. 06$.
