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of 510
pro vyhledávání: '"Liu, Yihang"'
Visual neural decoding refers to the process of extracting and interpreting original visual experiences from human brain activity. Recent advances in metric learning-based EEG visual decoding methods have delivered promising results and demonstrated
Externí odkaz:
http://arxiv.org/abs/2408.06788
Autor:
Wu, Changli, Liu, Yihang, Ji, Jiayi, Ma, Yiwei, Wang, Haowei, Luo, Gen, Ding, Henghui, Sun, Xiaoshuai, Ji, Rongrong
3D Referring Expression Segmentation (3D-RES) is dedicated to segmenting a specific instance within a 3D space based on a natural language description. However, current approaches are limited to segmenting a single target, restricting the versatility
Externí odkaz:
http://arxiv.org/abs/2407.20664
Let $G$ be a graph on $n$ vertices with degree sequence $(d_1,d_2......d_n)$. For a real $p \geq 1$, let $D_p(G)=\sum_{i=1}^nd_i^p$. A Tur\'an-type problem of degree power sum was initiated by Caro and Yuster \cite{caro2000degpower}: determining the
Externí odkaz:
http://arxiv.org/abs/2404.07059
We call a partition of a $c$-partite tournament into tournaments of order $c$ is strong if each tournament is strongly connected. The strong partition number denoted as $ST(r)$, represents the minimum integer $c'$ such that every regular $r$-balanced
Externí odkaz:
http://arxiv.org/abs/2403.08351
Knowledge-grounded dialogue is a task of generating an informative response based on both the dialogue history and external knowledge source. In general, there are two forms of knowledge: manually annotated knowledge graphs and knowledge text from we
Externí odkaz:
http://arxiv.org/abs/2312.07868
Interpretable deep learning models have received widespread attention in the field of image recognition. Due to the unique multi-instance learning of medical images and the difficulty in identifying decision-making regions, many interpretability mode
Externí odkaz:
http://arxiv.org/abs/2312.01871
Saliency methods generating visual explanatory maps representing the importance of image pixels for model classification is a popular technique for explaining neural network decisions. Hierarchical dynamic masks (HDM), a novel explanatory maps genera
Externí odkaz:
http://arxiv.org/abs/2301.04970
The interpretability of neural networks has recently received extensive attention. Previous prototype-based explainable networks involved prototype activation in both reasoning and interpretation processes, requiring specific explainable structures f
Externí odkaz:
http://arxiv.org/abs/2210.08336
The Class Activation Map (CAM) lookup of a neural network tells us to which regions the neural network focuses when it makes a decision. In the past, the CAM search method was dependent upon a specific internal module of the network. It has specific
Externí odkaz:
http://arxiv.org/abs/2207.08046
Accuracy and Diversity are two essential metrizable manifestations in generating natural and semantically correct captions. Many efforts have been made to enhance one of them with another decayed due to the trade-off gap. In this work, we will show t
Externí odkaz:
http://arxiv.org/abs/2205.14458