Search Results for author:
Found 6 papers, 2 papers with code
BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures
We also design the micro-level search space to strengthen the information flow for BNN.
Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment
Specifically, the fractional dilated kernel is adaptively constructed according to the image aspect ratios, where the interpolation of nearest two integers dilated kernels is used to cope with the misalignment of fractional sampling.
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation
In budgeted pruning, how to distribute the resources across layers (i. e., sparsity allocation) is the key problem.
Weakly Supervised Energy-Based Learning for Action Segmentation
This paper is about labeling video frames with action classes under weak supervision in training, where we have access to a temporal ordering of actions, but their start and end frames in training videos are unknown.
Temporal Deformable Residual Networks for Action Segmentation in Videos
This paper is about temporal segmentation of human actions in videos.
Ranked #23 on
Action Segmentation
on GTEA
Boundary Flow: A Siamese Network that Predicts Boundary Motion without Training on Motion
Using deep learning, this paper addresses the problem of joint object boundary detection and boundary motion estimation in videos, which we named boundary flow estimation.
