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Found 5 papers, 0 papers with code
MDL-NAS: A Joint Multi-Domain Learning Framework for Vision Transformer
Technically, MDL-NAS constructs a coarse-to-fine search space, where the coarse search space offers various optimal architectures for different tasks while the fine search space provides fine-grained parameter sharing to tackle the inherent obstacles of multi-domain learning.
Poly-PC: A Polyhedral Network for Multiple Point Cloud Tasks at Once
In this work, we show that it is feasible to perform multiple tasks concurrently on point cloud with a straightforward yet effective multi-task network.
Attention: A Big Surprise for Cross-Domain Person Re-Identification
Unlike existing cross-domain Re-ID methods, leveraging the auxiliary information of those unlabeled target-domain data, we aim at enhancing the model generalization and adaptation by discriminative feature learning, and directly exploiting a pre-trained model to new domains (datasets) without any utilization of the information from target domains.
Temporal Action Detection by Joint Identification-Verification
Temporal action detection aims at not only recognizing action category but also detecting start time and end time for each action instance in an untrimmed video.
PCN: Part and Context Information for Pedestrian Detection with CNNs
To take advantage of the body parts and context information for pedestrian detection, we propose the part and context network (PCN) in this work.
