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08/11/2023
Towards Instance-adaptive Inference for Federated Learning
Federated learning (FL) is a distributed learning paradigm that enables ...
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07/16/2023
CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance Segmentation
We propose a novel approach for RGB-D salient instance segmentation usin...
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04/30/2023
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection
Most previous co-salient object detection works mainly focus on extracti...
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04/24/2023
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network
Heterogeneous graph neural networks (HGNNs) as an emerging technique hav...
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04/03/2023
A Latent Fingerprint in the Wild Database
Latent fingerprints are among the most important and widely used evidenc...
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02/02/2023
Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt
Recently, inspired by DETR variants, query-based end-to-end instance seg...
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11/04/2022
A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data
Solar activity is usually caused by the evolution of solar magnetic fiel...
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10/05/2022
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum
Graph Contrastive Learning (GCL), learning the node representations by a...
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05/20/2022
Structured Attention Composition for Temporal Action Localization
Temporal action localization aims at localizing action instances from un...
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01/19/2022
Debiased Graph Neural Networks with Agnostic Label Selection Bias
Most existing Graph Neural Networks (GNNs) are proposed without consider...
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01/14/2022
Compact Graph Structure Learning via Mutual Information Compression
Graph Structure Learning (GSL) recently has attracted considerable atten...
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10/02/2021
Light Field Saliency Detection with Dual Local Graph Learning andReciprocative Guidance
The application of light field data in salient object de-tection is beco...
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10/01/2021
Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection
Humans perform co-saliency detection by first summarizing the consensus ...
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08/07/2021
Asymmetry-aware Scalable Locking
The pursuit of power-efficiency is popularizing asymmetric multicore pro...
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07/08/2021
Instance-Level Relative Saliency Ranking with Graph Reasoning
Conventional salient object detection models cannot differentiate the im...
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05/26/2021
Context-aware Cross-level Fusion Network for Camouflaged Object Detection
Camouflaged object detection (COD) is a challenging task due to the low ...
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05/19/2021
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning
Heterogeneous graph neural networks (HGNNs) as an emerging technique hav...
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04/25/2021
Visual Saliency Transformer
Recently, massive saliency detection methods have achieved promising res...
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04/15/2021
Lorentzian Graph Convolutional Networks
Graph convolutional networks (GCNs) have received considerable research ...
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04/06/2021
Weakly Supervised Video Salient Object Detection
Significant performance improvement has been achieved for fully-supervis...
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01/19/2021
Salient Object Detection via Integrity Learning
Albeit current salient object detection (SOD) works have achieved fantas...
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10/12/2020
Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection
How to effectively fuse cross-modal information is the key problem for R...
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02/02/2019
Online Multi-Object Tracking with Dual Matching Attention Networks
In this paper, we propose an online Multi-Object Tracking (MOT) approach...
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12/15/2018
PiCANet: Pixel-wise Contextual Attention Learning for Accurate Saliency Detection
In saliency detection, every pixel needs contextual information to make ...
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08/22/2018
Scheduling a Rescue
Scheduling service order, in a very specific queueing/inventory model wi...
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10/06/2016
