arXiv:2208.09284
공식 코드 · Papers with Code
Reproducibility Report: Contrastive Learning of Socially-aware Motion Representations
원문 초록
The following paper is a reproducibility report for "Social NCE: Contrastive Learning of Socially-aware Motion Representations" {\cite{liu2020snce}} published in ICCV 2021 as part of the ML Reproducibility Challenge 2021. The original code was made available by the author \footnote{\href{https://github.com/vita-epfl/social-nce}{https://github.com/vita-epfl/social-nce}}. We attempted to verify the results claimed by the authors and reimplemented their code in PyTorch Lightning.
함께 살펴볼 논문
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RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics Features
NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation
From ID-based to ID-free: Rethinking ID Effectiveness in Multimodal Collaborative Filtering Recommendation
CultureCLIP: Empowering CLIP with Cultural Awareness through Synthetic Images and Contextualized Captions
Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation
Weakly-supervised Contrastive Learning with Quantity Prompts for Moving Infrared Small Target Detection
토론
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