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Found 7 papers, 3 papers with code
GIFT: A Real-time and Scalable 3D Shape Search Engine
We name the proposed 3D shape search engine, which combines GPU acceleration and Inverted File Twice, as GIFT.
Divide and Fuse: A Re-ranking Approach for Person Re-identification
Finally, the new features from the same image are fused into one vector for re-ranking.
Ensemble Diffusion for Retrieval
This stimulates a great research interest of considering similarity fusion in the framework of diffusion process (i. e., fusion with diffusion) for robust retrieval.
Triplet-Center Loss for Multi-View 3D Object Retrieval
Most existing 3D object recognition algorithms focus on leveraging the strong discriminative power of deep learning models with softmax loss for the classification of 3D data, while learning discriminative features with deep metric learning for 3D object retrieval is more or less neglected.
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
In this paper, in contrast to the existing CNN+RNN or pure 3D convolution based approaches, we explore a novel spatial temporal network (StNet) architecture for both local and global spatial-temporal modeling in videos.
Multi-Label Classification with Label Graph Superimposing
In this paper, we propose a label graph superimposing framework to improve the conventional GCN+CNN framework developed for multi-label recognition in the following two aspects.
Ranked #28 on
Multi-Label Classification
on MS-COCO
Vision Transformer with Attention Map Hallucination and FFN Compaction
Vision Transformer(ViT) is now dominating many vision tasks.
