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Found 4 papers, 2 papers with code
HDRTransDC: High Dynamic Range Image Reconstruction with Transformer Deformation Convolution
High Dynamic Range (HDR) imaging aims to generate an artifact-free HDR image with realistic details by fusing multi-exposure Low Dynamic Range (LDR) images.
MT-ORL: Multi-Task Occlusion Relationship Learning
Retrieving occlusion relation among objects in a single image is challenging due to sparsity of boundaries in image.
Unifying Nonlocal Blocks for Neural Networks
The nonlocal-based blocks are designed for capturing long-range spatial-temporal dependencies in computer vision tasks.
DDNet: Dual-path Decoder Network for Occlusion Relationship Reasoning
Besides, considering the restriction of occlusion orientation presentation to occlusion orientation learning, we design a new orthogonal representation for occlusion orientation and proposed the Orthogonal Orientation Regression loss which can get rid of the unfitness between occlusion representation and learning and further prompt the occlusion orientation learning.
