Search Results for author:
Found 10 papers, 4 papers with code
Strike a Balance in Continual Panoptic Segmentation
First, we introduce past-class backtrace distillation to balance the stability of existing knowledge with the adaptability to new information.
Query-guided Prototype Evolution Network for Few-Shot Segmentation
To address this, we present the Query-guided Prototype Evolution Network (QPENet), a new method that integrates query features into the generation process of foreground and background prototypes, thereby yielding customized prototypes attuned to specific queries.
SDDNet: Style-guided Dual-layer Disentanglement Network for Shadow Detection
Despite significant progress in shadow detection, current methods still struggle with the adverse impact of background color, which may lead to errors when shadows are present on complex backgrounds.
Ranked #1 on
Shadow Detection
on SBU / SBU-Refine
SimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation
Session-based recommendation (SBR) problem, which focuses on next-item prediction for anonymous users, has received increasingly more attention from researchers.
Nearest Neighbor Classifier with Margin Penalty for Active Learning
As a result, informative samples in the margin area can not be discovered and AL performance are damaged.
GIR Framework: Learning Graph Positional Embeddings with Anchor Indication and Path Encoding
In this work, we propose a novel framework which follows the anchor-based idea and aims at conveying distance information implicitly along the MPNN message passing steps for encoding position information, node attributes, and graph structure in a more flexible way.
SR-HetGNN:Session-based Recommendation with Heterogeneous Graph Neural Network
The current studies generally learn user preferences according to the transitions of items in the user's session sequence.
Graph Inference Representation: Learning Graph Positional Embeddings with Anchor Path Encoding
We show that GIRs get outperformed results in position-aware scenarios, and performances on typical GNNs could be improved by fusing GIR embeddings.
CelebHair: A New Large-Scale Dataset for Hairstyle Recommendation based on CelebA
In this paper, we present a new large-scale dataset for hairstyle recommendation, CelebHair, based on the celebrity facial attributes dataset, CelebA.
Adaptive Graph Diffusion Networks
Until the date of submission (Aug 26, 2022), AGDNs achieve top-1 performance on the ogbn-arxiv, ogbn-proteins and ogbl-ddi datasets and top-3 performance on the ogbl-citation2 dataset.
Ranked #1 on
Link Property Prediction
on ogbl-citation2
