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06/07/2023
UniBoost: Unsupervised Unimodal Pre-training for Boosting Zero-shot Vision-Language Tasks
Large-scale joint training of multimodal models, e.g., CLIP, have demons...
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11/08/2022
Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts
Improving model's generalizability against domain shifts is crucial, esp...
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07/23/2022
Self-Support Few-Shot Semantic Segmentation
Existing few-shot segmentation methods have achieved great progress base...
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07/05/2022
Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing
Big data processing at the production scale presents a highly complex en...
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05/30/2022
GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector
In this paper, we present a novel end-to-end group collaborative learnin...
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04/30/2021
Few-Shot Video Object Detection
We introduce Few-Shot Video Object Detection (FSVOD) with three importan...
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07/24/2020
Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation
Partially supervised instance segmentation aims to perform learning on l...
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05/07/2020
Boosting Cloud Data Analytics using Multi-Objective Optimization
Data analytics in the cloud has become an integral part of enterprise bu...
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08/06/2019
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
Conventional methods for object detection usually requires substantial a...
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09/20/2017
VCExplorer: A Interactive Graph Exploration Framework Based on Hub Vertices with Graph Consolidation
Graphs have been widely used to model different information networks, su...
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07/03/2009