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09/14/2023
Unified Human-Scene Interaction via Prompted Chain-of-Contacts
Human-Scene Interaction (HSI) is a vital component of fields like embodi...
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04/19/2023
Transformer-Based Visual Segmentation: A Survey
Visual segmentation seeks to partition images, video frames, or point cl...
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03/29/2023
DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking
Recent multi-camera 3D object detectors usually leverage temporal inform...
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03/23/2023
MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training
This paper introduces the Masked Voxel Jigsaw and Reconstruction (MV-JAR...
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03/23/2023
Position-Guided Point Cloud Panoptic Segmentation Transformer
DEtection TRansformer (DETR) started a trend that uses a group of learna...
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03/22/2023
Tube-Link: A Flexible Cross Tube Baseline for Universal Video Segmentation
The goal of video segmentation is to accurately segment and track every ...
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03/22/2023
Dense Distinct Query for End-to-End Object Detection
One-to-one label assignment in object detection has successfully obviate...
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07/26/2022
Monocular 3D Object Detection with Depth from Motion
Perceiving 3D objects from monocular inputs is crucial for robotic syste...
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06/02/2022
What Are Expected Queries in End-to-End Object Detection?
End-to-end object detection is rapidly progressed after the emergence of...
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04/10/2022
Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation
This paper presents Video K-Net, a simple, strong, and unified framework...
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03/27/2022
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
Multi-Object Tracking (MOT) has rapidly progressed with the development ...
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03/21/2022
Dense Siamese Network
This paper presents Dense Siamese Network (DenseSiam), a simple unsuperv...
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08/23/2021
Towards Balanced Learning for Instance Recognition
Instance recognition is rapidly advanced along with the developments of ...
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08/08/2021
Context-Aware Mixup for Domain Adaptive Semantic Segmentation
Unsupervised domain adaptation (UDA) aims to adapt a model of the labele...
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08/08/2021
Self-Adversarial Disentangling for Specific Domain Adaptation
Domain adaptation aims to bridge the domain shifts between the source an...
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07/29/2021
Probabilistic and Geometric Depth: Detecting Objects in Perspective
3D object detection is an important capability needed in various practic...
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06/28/2021
K-Net: Towards Unified Image Segmentation
Semantic, instance, and panoptic segmentations have been addressed using...
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04/22/2021
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection
Monocular 3D object detection is an important task for autonomous drivin...
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08/23/2020
Seesaw Loss for Long-Tailed Instance Segmentation
This report presents the approach used in the submission of the LVIS Cha...
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06/11/2020
Quasi-Dense Instance Similarity Learning
Similarity metrics for instances have drawn much attention, due to their...
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12/09/2019
Side-Aware Boundary Localization for More Precise Object Detection
Current object detection frameworks mainly rely on bounding box regressi...
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06/17/2019
MMDetection: Open MMLab Detection Toolbox and Benchmark
We present MMDetection, an object detection toolbox that contains a rich...
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04/04/2019
Libra R-CNN: Towards Balanced Learning for Object Detection
Compared with model architectures, the training process, which is also c...
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02/16/2019
R^2-CNN: Fast Tiny Object Detection in Large-scale Remote Sensing Images
Recently, convolutional neural network has brought impressive improvemen...
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01/22/2019
Hybrid Task Cascade for Instance Segmentation
Cascade is a classic yet powerful architecture that has boosted performa...
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01/11/2019