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12/26/2021
Miti-DETR: Object Detection based on Transformers with Mitigatory Self-Attention Convergence
Object Detection with Transformers (DETR) and related works reach or eve...
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12/25/2021
Semantic Clustering based Deduction Learning for Image Recognition and Classification
The paper proposes a semantic clustering based deduction learning by mim...
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01/03/2021
Six-channel Image Representation for Cross-domain Object Detection
Most deep learning models are data-driven and the excellent performance ...
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10/15/2020
Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling
Layer-wise learning, as an alternative to global back-propagation, is ea...
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10/04/2020
Multi-Resolution Fusion and Multi-scale Input Priors Based Crowd Counting
Crowd counting in still images is a challenging problem in practice due ...
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07/13/2020
Location-Aware Box Reasoning for Anchor-Based Single-Shot Object Detection
In the majority of object detection frameworks, the confidence of instan...
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01/05/2020
Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters
In this paper, we investigate the empirical impact of orthogonality regu...
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12/10/2019
MDFN: Multi-Scale Deep Feature Learning Network for Object Detection
This paper proposes an innovative object detector by leveraging deep fea...
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12/04/2019
Object Detection with Convolutional Neural Networks
In this chapter, we present a brief overview of the recent development i...
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10/04/2019
Adaptively Denoising Proposal Collection for Weakly Supervised Object Localization
In this paper, we address the problem of weakly supervised object locali...
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09/06/2018
