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Found 3 papers, 2 papers with code
SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation
Central to SparseDFF is a feature refinement network, optimized with a contrastive loss between views and a point-pruning mechanism for feature continuity.
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting
To address these issues, we propose two novel strategies to reduce the number of iterations in RNNs for LTSF tasks: Segment-wise Iterations and Parallel Multi-step Forecasting (PMF).
Ranked #1 on
Time Series Forecasting
on Weather (720)
Weakly-Supervised Dense Action Anticipation
We present a (semi-) weakly supervised method using only a small number of fully-labelled sequences and predominantly sequences in which only the (one) upcoming action is labelled.
