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Found 6 papers, 4 papers with code
Self-Supervised Multi-Object Tracking with Path Consistency
In this paper, we propose a novel concept of path consistency to learn robust object matching without using manual object identity supervision.
CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models
For each of these CRUD categories, we have developed comprehensive datasets to evaluate the performance of RAG systems.
BIT: Bi-Level Temporal Modeling for Efficient Supervised Action Segmentation
We address the task of supervised action segmentation which aims to partition a video into non-overlapping segments, each representing a different action.
Ranked #2 on
Action Segmentation
on Breakfast
MediaGPT : A Large Language Model For Chinese Media
Large language models (LLMs) have shown remarkable capabilities in generating high-quality text and making predictions based on large amounts of data, including the media domain.
Set-Supervised Action Learning in Procedural Task Videos via Pairwise Order Consistency
We address the problem of set-supervised action learning, whose goal is to learn an action segmentation model using weak supervision in the form of sets of actions occurring in training videos.
Pseudo Label
Weakly Supervised Action Segmentation (Action Set))
Weakly-Supervised Action Segmentation and Alignment via Transcript-Aware Union-of-Subspaces Learning
We address the problem of learning to segment actions from weakly-annotated videos, i. e., videos accompanied by transcripts (ordered list of actions).
