Search Results for author:
Found 6 papers, 5 papers with code
Attention-guided Feature Distillation for Semantic Segmentation
In contrast to existing complex methodologies commonly employed for distilling knowledge from a teacher to a student, the pro-posed method showcases the efficacy of a simple yet powerful method for utilizing refined feature maps to transfer attention.
Deep Spectral Improvement for Unsupervised Image Instance Segmentation
This paper addresses the fact that not all channels of the feature map extracted from a self-supervised backbone contain sufficient information for instance segmentation purposes.
Multi-task Learning for Joint Re-identification, Team Affiliation, and Role Classification for Sports Visual Tracking
To demonstrate the effectiveness of PRTreID, it is integrated with a state-of-the-art tracking method, using a part-based post-processing module to handle long-term tracking.
Rethinking RAFT for Efficient Optical Flow
To address these problems, this paper proposes a novel approach based on the RAFT framework.
Ranked #4 on
Optical Flow Estimation
on Sintel-clean
SoccerNet 2023 Challenges Results
More information on the tasks, challenges, and leaderboards are available on https://www. soccer-net. org.
AICSD: Adaptive Inter-Class Similarity Distillation for Semantic Segmentation
With inference time being a crucial factor, particularly in dense prediction tasks such as semantic segmentation, knowledge distillation has emerged as a successful technique for improving the accuracy of lightweight student networks.
