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11/19/2022
MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D Perception
This paper proposes an efficient multi-camera to Bird's-Eye-View (BEV) v...
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08/22/2022
STS: Surround-view Temporal Stereo for Multi-view 3D Detection
Learning accurate depth is essential to multi-view 3D object detection. ...
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08/19/2022
PersDet: Monocular 3D Detection in Perspective Bird's-Eye-View
Currently, detecting 3D objects in Bird's-Eye-View (BEV) is superior to ...
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07/13/2022
DSPNet: Towards Slimmable Pretrained Networks based on Discriminative Self-supervised Learning
Self-supervised learning (SSL) has achieved promising downstream perform...
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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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06/01/2022
Unifying Voxel-based Representation with Transformer for 3D Object Detection
In this work, we present a unified framework for multi-modality 3D objec...
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05/31/2022
Voxel Field Fusion for 3D Object Detection
In this work, we present a conceptually simple yet effective framework f...
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05/28/2022
A Closer Look at Self-supervised Lightweight Vision Transformers
Self-supervised learning on large-scale Vision Transformers (ViTs) as pr...
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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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03/22/2022
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition
Deep neural networks perform poorly on heavily class-imbalanced datasets...
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08/17/2021
Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision
In this paper, we present a conceptually simple, strong, and efficient f...
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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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05/20/2021
Generalized Few-Shot Object Detection without Forgetting
Recently few-shot object detection is widely adopted to deal with data-l...
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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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03/30/2021
Distribution Alignment: A Unified Framework for Long-tail Visual Recognition
Despite the recent success of deep neural networks, it remains challengi...
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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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12/07/2020
End-to-End Object Detection with Fully Convolutional Network
Mainstream object detectors based on the fully convolutional network has...
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12/07/2020
Fine-Grained Dynamic Head for Object Detection
The Feature Pyramid Network (FPN) presents a remarkable approach to alle...
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12/07/2020
Rethinking Learnable Tree Filter for Generic Feature Transform
The Learnable Tree Filter presents a remarkable approach to model struct...
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12/01/2020
Fully Convolutional Networks for Panoptic Segmentation
In this paper, we present a conceptually simple, strong, and efficient f...
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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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10/06/2020
Joint COCO and Mapillary Workshop at ICCV 2019: COCO Instance Segmentation Challenge Track
In this report, we present our object detection/instance segmentation sy...
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10/05/2020
EqCo: Equivalent Rules for Self-supervised Contrastive Learning
In this paper, we propose a method, named EqCo (Equivalent Rules for Con...
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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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07/07/2020
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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04/26/2020
Stitcher: Feedback-driven Data Provider for Object Detection
Object detectors commonly vary quality according to scales, where the pe...
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03/23/2020
Learning Dynamic Routing for Semantic Segmentation
Recently, numerous handcrafted and searched networks have been applied f...
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09/27/2019
Learnable Tree Filter for Structure-preserving Feature Transform
Learning discriminative global features plays a vital role in semantic s...
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08/26/2019
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
This report presents our method which wins the nuScenes3D Detection Chal...
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03/28/2019
ThunderNet: Towards Real-time Generic Object Detection
Real-time generic object detection on mobile platforms is a crucial but ...
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04/17/2018
DetNet: A Backbone network for Object Detection
Recent CNN based object detectors, no matter one-stage methods like YOLO...
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11/20/2017
Light-Head R-CNN: In Defense of Two-Stage Object Detector
In this paper, we first investigate why typical two-stage methods are no...
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11/20/2017