Search Results for author:
Found 6 papers, 3 papers with code
TIPI: Test Time Adaptation With Transformation Invariance
Test Time Adaptation offers a means to combat this problem, as it allows the model to adapt during test time to the new data distribution, using only unlabeled test data batches.
Deep Deterministic Uncertainty: A New Simple Baseline
Reliable uncertainty from deterministic single-forward pass models is sought after because conventional methods of uncertainty quantification are computationally expensive.
Semantic-Aware Auto-Encoders for Self-Supervised Representation Learning
Inspired by perceptual learning that could use cross-view learning to perceive concepts and semantics, we propose a novel AE that could learn semantic-aware representation via cross-view image reconstruction.
YouMVOS: An Actor-Centric Multi-Shot Video Object Segmentation Dataset
Many video understanding tasks require analyzing multi-shot videos, but existing datasets for video object segmentation (VOS) only consider single-shot videos.
Aggregation With Feature Detection
Aggregating features from different depths of a network is widely adopted to improve the network capability.
Separable Flow: Learning Motion Cost Volumes for Optical Flow Estimation
Full-motion cost volumes play a central role in current state-of-the-art optical flow methods.
Ranked #5 on
Optical Flow Estimation
on KITTI 2015 (train)
