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08/14/2023
A Unified Query-based Paradigm for Camouflaged Instance Segmentation
Due to the high similarity between camouflaged instances and the backgro...
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05/16/2023
Deep ReLU Networks Have Surprisingly Simple Polytopes
A ReLU network is a piecewise linear function over polytopes. Figuring o...
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05/11/2023
Rethink Depth Separation with Intra-layer Links
The depth separation theory is nowadays widely accepted as an effective ...
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03/26/2023
Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers
Vision transformers have recently shown strong global context modeling c...
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02/02/2023
Energy Efficient Training of SNN using Local Zeroth Order Method
Spiking neural networks are becoming increasingly popular for their low ...
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10/04/2022
Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients
We consider escaping saddle points of nonconvex problems where only the ...
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07/08/2022
Balanced Self-Paced Learning for AUC Maximization
Learning to improve AUC performance is an important topic in machine lea...
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06/01/2022
Lower and Upper Bounds for Numbers of Linear Regions of Graph Convolutional Networks
The research for characterizing GNN expressiveness attracts much attenti...
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04/22/2022
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation
The key challenge for few-shot semantic segmentation (FSS) is how to tai...
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03/14/2022
Implicit Motion Handling for Video Camouflaged Object Detection
We propose a new video camouflaged object detection (VCOD) framework tha...
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10/20/2020
Learning to Learn Variational Semantic Memory
In this paper, we introduce variational semantic memory into meta-learni...
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07/15/2020
Learning to Learn with Variational Information Bottleneck for Domain Generalization
Domain generalization models learn to generalize to previously unseen do...
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09/16/2019