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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...
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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...
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05/21/2023
Bi-ViT: Pushing the Limit of Vision Transformer Quantization
Vision transformers (ViTs) quantization offers a promising prospect to f...
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04/01/2023
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer
The recent detection transformer (DETR) has advanced object detection, b...
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03/29/2023
Implicit Diffusion Models for Continuous Super-Resolution
Image super-resolution (SR) has attracted increasing attention due to it...
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03/03/2023
Confidence-driven Bounding Box Localization for Small Object Detection
Despite advancements in generic object detection, there remains a perfor...
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02/02/2023
Resilient Binary Neural Network
Binary neural networks (BNNs) have received ever-increasing popularity f...
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10/13/2022
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer
The large pre-trained vision transformers (ViTs) have demonstrated remar...
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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...
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09/04/2022
Recurrent Bilinear Optimization for Binary Neural Networks
Binary Neural Networks (BNNs) show great promise for real-world embedded...
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01/20/2022
TerViT: An Efficient Ternary Vision Transformer
Vision transformers (ViTs) have demonstrated great potential in various ...
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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...
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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...
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01/29/2019
