Search Results for author:
Found 7 papers, 1 papers with code
Enhancing Clustering Representations with Positive Proximity and Cluster Dispersion Learning
PIPCDR incorporates a positive instance proximity loss and a cluster dispersion regularizer.
Robust Unsupervised Domain Adaptation by Retaining Confident Entropy via Edge Concatenation
To address this issue, we introduce a novel approach to domain adaptation, leveraging the synergy of internal and external information within entropy-based adversarial networks.
RemoteNet: Remote Sensing Image Segmentation Network based on Global-Local Information
It becomes challenging to capture the underlying attributes in the global and local context for their segmentation.
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning
Convolutional Neural Networks (CNNs) have a large number of parameters and take significantly large hardware resources to compute, so edge devices struggle to run high-level networks.
Visual Question Answering based on Local-Scene-Aware Referring Expression Generation
We quantitatively and qualitatively evaluated the proposed method on the VQA v2 dataset and compared it with state-of-the-art methods in terms of answer prediction.
Human Interaction Recognition Framework based on Interacting Body Part Attention
In this paper, we propose a novel framework that simultaneously considers both implicit and explicit representations of human interactions by fusing information of local image where the interaction actively occurred, primitive motion with the posture of individual subject's body parts, and the co-occurrence of overall appearance change.
Activity Recognition In Videos
Human Activity Recognition
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Three-Stream Fusion Network for First-Person Interaction Recognition
First-person interaction recognition is a challenging task because of unstable video conditions resulting from the camera wearer's movement.
