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04/15/2023
Align-DETR: Improving DETR with Simple IoU-aware BCE loss
DETR has set up a simple end-to-end pipeline for object detection by for...
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09/30/2022
Metro: Memory-Enhanced Transformer for Retrosynthetic Planning via Reaction Tree
Retrosynthetic planning plays a critical role in drug discovery and orga...
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09/29/2022
How Powerful is Implicit Denoising in Graph Neural Networks
Graph Neural Networks (GNNs), which aggregate features from neighbors, a...
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07/06/2022
Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection
To date, the most powerful semi-supervised object detectors (SS-OD) are ...
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03/23/2022
Real-time Object Detection for Streaming Perception
Autonomous driving requires the model to perceive the environment and (r...
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09/08/2021
Local Augmentation for Graph Neural Networks
Data augmentation has been widely used in image data and linguistic data...
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07/18/2021
YOLOX: Exceeding YOLO Series in 2021
In this report, we present some experienced improvements to YOLO series,...
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04/14/2021
IQDet: Instance-wise Quality Distribution Sampling for Object Detection
We propose a dense object detector with an instance-wise sampling strate...
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03/26/2021
OTA: Optimal Transport Assignment for Object Detection
Recent advances in label assignment in object detection mainly seek to i...
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01/19/2021
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning
In this paper, we present a novel approach, Momentum^2 Teacher, for stud...
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01/12/2021
LLA: Loss-aware Label Assignment for Dense Pedestrian Detection
Label assignment has been widely studied in general object detection bec...
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11/27/2020
Self-EMD: Self-Supervised Object Detection without ImageNet
In this paper, we propose a novel self-supervised representation learnin...
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07/21/2020
BorderDet: Border Feature for Dense Object Detection
Dense object detectors rely on the sliding-window paradigm that predicts...
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07/18/2020
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection
Few-shot object detection (FSOD) helps detectors adapt to unseen classes...
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07/07/2020
AutoAssign: Differentiable Label Assignment for Dense Object Detection
In this paper, we propose an anchor-free object detector with a fully di...
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03/23/2020
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
Recent years have witnessed great progress in deep learning based object...
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11/21/2019
Learning Spatial Fusion for Single-Shot Object Detection
Pyramidal feature representation is the common practice to address the c...
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11/11/2019
Higher-order Weighted Graph Convolutional Networks
Graph Convolution Network (GCN) has been recognized as one of the most e...
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04/07/2019
Adaptive NMS: Refining Pedestrian Detection in a Crowd
Pedestrian detection in a crowd is a very challenging issue. This paper ...
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11/21/2017