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09/05/2023
Diffusion-based 3D Object Detection with Random Boxes
3D object detection is an essential task for achieving autonomous drivin...
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06/04/2023
SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model
With the development of large language models, many remarkable linguisti...
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05/12/2023
Visual Information Extraction in the Wild: Practical Dataset and End-to-end Solution
Visual information extraction (VIE), which aims to simultaneously perfor...
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04/10/2023
SOOD: Towards Semi-Supervised Oriented Object Detection
Semi-Supervised Object Detection (SSOD), aiming to explore unlabeled dat...
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04/09/2023
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model
Supervised crowd counting relies heavily on costly manual labeling, whic...
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03/09/2023
DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object Detection
In this paper, we present a simple yet effective semi-supervised 3D obje...
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03/23/2022
Comprehensive Benchmark Datasets for Amharic Scene Text Detection and Recognition
Ethiopic/Amharic script is one of the oldest African writing systems, wh...
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02/26/2022
An End-to-End Transformer Model for Crowd Localization
Crowd localization, predicting head positions, is a more practical and h...
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07/19/2021
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Crowd counting on the drone platform is an interesting topic in computer...
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04/19/2021
TransCrowd: Weakly-Supervised Crowd Counting with Transformer
The mainstream crowd counting methods usually utilize the convolution ne...
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02/16/2021
Reciprocal Distance Transform Maps for Crowd Counting and People Localization in Dense Crowd
In this paper, we propose a novel map for dense crowd counting and peopl...
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12/15/2020
Dilated-Scale-Aware Attention ConvNet For Multi-Class Object Counting
Object counting aims to estimate the number of objects in images. The le...
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12/20/2019
