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Found 8 papers, 3 papers with code
Dynamic Heterogeneous Federated Learning with Multi-Level Prototypes
Existing heterogeneous federated learning mainly focuses on skewing the label distribution across clients.
Learning Efficient Representations for Image-Based Patent Retrieval
Patent retrieval has been attracting tremendous interest from researchers in intellectual property and information retrieval communities in the past decades.
Graph Convolution Based Efficient Re-Ranking for Visual Retrieval
In particular, the plain GCR is extended for cross-camera retrieval and an improved feature propagation formulation is presented to leverage affinity relationships across different cameras.
Efficient Token-Guided Image-Text Retrieval with Consistent Multimodal Contrastive Training
Most previous works either simply learn coarse-grained representations of the overall image and text, or elaborately establish the correspondence between image regions or pixels and text words.
AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection
Last but not least, we introduce a region feature alignment and an instance discriminator to learn domain-invariant features for object proposals.
Delving into 3D Action Anticipation from Streaming Videos
Action anticipation, which aims to recognize the action with a partial observation, becomes increasingly popular due to a wide range of applications.
PVRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion Prediction
We therefore propose a novel Position-Velocity Recurrent Encoder-Decoder (PVRED) for human motion prediction, which makes full use of pose velocities and temporal positional information.
Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks
In this paper, we propose a novel two-stream RNN architecture to model both temporal dynamics and spatial configurations for skeleton based action recognition.
Ranked #112 on
Skeleton Based Action Recognition
on NTU RGB+D
