Yanjing Li | DeepAI

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∙ 08/20/2023

Representation Disparity-aware Distillation for 3D Object Detection

In this paper, we focus on developing knowledge distillation (KD) for co...

0 Yanjing Li, et al. ∙

∙ 06/27/2023

DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs

Neural architecture search (NAS) proves to be among the effective approa...

0 Yanjing Li, et al. ∙

∙ 05/21/2023

Bi-ViT: Pushing the Limit of Vision Transformer Quantization

Vision transformers (ViTs) quantization offers a promising prospect to f...

0 Yanjing Li, et al. ∙

∙ 04/01/2023

Q-DETR: An Efficient Low-Bit Quantized Detection Transformer

The recent detection transformer (DETR) has advanced object detection, b...

0 Sheng Xu, et al. ∙

∙ 03/29/2023

Implicit Diffusion Models for Continuous Super-Resolution

Image super-resolution (SR) has attracted increasing attention due to it...

0 Sicheng Gao, et al. ∙

∙ 03/03/2023

Confidence-driven Bounding Box Localization for Small Object Detection

Despite advancements in generic object detection, there remains a perfor...

0 Huixin Sun, et al. ∙

∙ 02/02/2023

Resilient Binary Neural Network

Binary neural networks (BNNs) have received ever-increasing popularity f...

0 Sheng Xu, et al. ∙

∙ 10/13/2022

Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer

The large pre-trained vision transformers (ViTs) have demonstrated remar...

0 Yanjing Li, et al. ∙

∙ 10/07/2022

IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors

Knowledge distillation (KD) has been proven to be useful for training co...

0 Sheng Xu, et al. ∙

∙ 09/04/2022

Recurrent Bilinear Optimization for Binary Neural Networks

Binary Neural Networks (BNNs) show great promise for real-world embedded...

0 Sheng Xu, et al. ∙

∙ 01/20/2022

TerViT: An Efficient Ternary Vision Transformer

Vision transformers (ViTs) have demonstrated great potential in various ...

0 Sheng Xu, et al. ∙

∙ 11/26/2021

POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing

Real-time point cloud processing is fundamental for lots of computer vis...

0 Sheng Xu, et al. ∙

∙ 07/11/2019

Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking

In this work, we present an end-to-end framework to settle data associat...

0 Xiaolong Jiang, et al. ∙

∙ 01/29/2019

Two-Stream Multi-Task Network for Fashion Recognition

In this paper, we present a two-stream multi-task network for fashion re...

0 Peizhao Li, et al. ∙

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