Jiaxin Chen | DeepAI

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∙ 08/23/2023

DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration

The visual models pretrained on large-scale benchmarks encode general kn...

0 Nan Zhou, et al. ∙

∙ 08/04/2023

CTP-Net: Character Texture Perception Network for Document Image Forgery Localization

Due to the progression of information technology in recent years, docume...

0 Xin Liao, et al. ∙

∙ 03/25/2023

Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images

Object detection on drone images with low-latency is an important but ch...

0 Bowei Du, et al. ∙

∙ 03/22/2023

OcTr: Octree-based Transformer for 3D Object Detection

A key challenge for LiDAR-based 3D object detection is to capture suffic...

0 Chao Zhou, et al. ∙

∙ 01/04/2023

Emergent collective intelligence from massive-agent cooperation and competition

Inspired by organisms evolving through cooperation and competition betwe...

0 HanMo Chen, et al. ∙

∙ 10/24/2022

Multi-Agent Path Finding via Tree LSTM

In recent years, Multi-Agent Path Finding (MAPF) has attracted attention...

0 Yuhao Jiang, et al. ∙

∙ 07/11/2022

SHREC'22 Track: Sketch-Based 3D Shape Retrieval in the Wild

Sketch-based 3D shape retrieval (SBSR) is an important yet challenging t...

0 Jie Qin, et al. ∙

∙ 04/17/2022

Entropy-based Active Learning for Object Detection with Progressive Diversity Constraint

Active learning is a promising alternative to alleviate the issue of hig...

0 Jiaxi Wu, et al. ∙

∙ 04/17/2022

Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection

Domain adaptive object detection (DAOD) is a promising way to alleviate ...

0 Jiaxi Wu, et al. ∙

∙ 04/01/2022

CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection

In autonomous driving, LiDAR point-clouds and RGB images are two major d...

0 Yanan Zhang, et al. ∙

∙ 12/20/2021

UFPMP-Det: Toward Accurate and Efficient Object Detection on Drone Imagery

This paper proposes a novel approach to object detection on drone imager...

0 Yecheng Huang, et al. ∙

∙ 09/13/2021

Effectiveness of Pre-training for Few-shot Intent Classification

This paper investigates the effectiveness of pre-training for few-shot i...

0 Haode Zhang, et al. ∙

∙ 08/24/2021

Adaptation-Agnostic Meta-Training

Many meta-learning algorithms can be formulated into an interleaved proc...

0 Jiaxin Chen, et al. ∙

∙ 08/23/2021

PR-GCN: A Deep Graph Convolutional Network with Point Refinement for 6D Pose Estimation

RGB-D based 6D pose estimation has recently achieved remarkable progress...

0 Guangyuan Zhou, et al. ∙

∙ 04/30/2021

Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification

Video-based person re-identification (re-ID) is an important research to...

0 Yichao Yan, et al. ∙

∙ 04/29/2021

Learning Multi-Attention Context Graph for Group-Based Re-Identification

Learning to re-identify or retrieve a group of people across non-overlap...

6 Yichao Yan, et al. ∙

∙ 10/09/2020

Deep Adversarial Domain Adaptation Based on Multi-layer Joint Kernelized Distance

Domain adaptation refers to the learning scenario that a model learned f...

0 Sitong Mao, et al. ∙

∙ 07/24/2020

Adaptive Energy Management for Real Driving Conditions via Transfer Reinforcement Learning

This article proposes a transfer reinforcement learning (RL) based adapt...

0 Teng Liu, et al. ∙

∙ 07/16/2020

Transferred Energy Management Strategies for Hybrid Electric Vehicles Based on Driving Conditions Recognition

Energy management strategies (EMSs) are the most significant components ...

0 Teng Liu, et al. ∙

∙ 02/27/2020

Auto-Encoding Twin-Bottleneck Hashing

Conventional unsupervised hashing methods usually take advantage of simi...

1 Yuming Shen, et al. ∙

∙ 12/26/2019

Variational Metric Scaling for Metric-Based Meta-Learning

Metric-based meta-learning has attracted a lot of attention due to its e...

0 Jiaxin Chen, et al. ∙

∙ 08/26/2019

Embarrassingly Simple Binary Representation Learning

Recent binary representation learning models usually require sophisticat...

0 Yuming Shen, et al. ∙

∙ 07/04/2018

Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval

Due to the large cross-modality discrepancy between 2D sketches and 3D s...

0 Jiaxin Chen, et al. ∙

∙ 02/20/2018

Scale Optimization for Full-Image-CNN Vehicle Detection

Many state-of-the-art general object detection methods make use of share...

0 Yang Gao, et al. ∙

∙ 12/06/2017

Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders

Unsupervised Image-to-Image Translation achieves spectacularly advanced ...

0 Le Hui, et al. ∙

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