Search Results for author:
Found 7 papers, 4 papers with code
Activation Function Optimization Scheme for Image Classification
Finally, we statistically investigate the generalization of the resultant activation functions developed through the optimization scheme.
Wonderful Matrices: More Efficient and Effective Architecture for Language Modeling Tasks
We prove the availability of inner product form position encoding in the state space dual algorithm and study the effectiveness of different position embeddings in the hybrid quadratic causal self-attention and state space dual algorithms.
PanelNet: Understanding 360 Indoor Environment via Panel Representation
To reduce the negative impact of panoramic distortion, we incorporate a panel geometry embedding network that encodes both the local and global geometric features of a panel.
Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions
Action understanding has evolved into the era of fine granularity, as most human behaviors in real life have only minor differences.
Ranked #1 on
Weakly Supervised Action Localization
on FineAction
TransVOD: End-to-End Video Object Detection with Spatial-Temporal Transformers
Detection Transformer (DETR) and Deformable DETR have been proposed to eliminate the need for many hand-designed components in object detection while demonstrating good performance as previous complex hand-crafted detectors.
Ranked #6 on
Video Object Detection
on ImageNet VID
(using extra training data)
StereoRel: Relational Triple Extraction from a Stereoscopic Perspective
Relational triple extraction is critical to understanding massive text corpora and constructing large-scale knowledge graph, which has attracted increasing research interest.
End-to-End Video Object Detection with Spatial-Temporal Transformers
Recently, DETR and Deformable DETR have been proposed to eliminate the need for many hand-designed components in object detection while demonstrating good performance as previous complex hand-crafted detectors.
