CVPR2022目标检测方向论文

完整的paper list已经放出来了,可以直接查看。

[2] Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection

code: TBD

[3] Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes

[4] Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement

[5] Unknown-Aware Object Detection: Learning What You Don’t Know from Videos in the Wild

[6] Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection

[7] DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

[8] Localization Distillation for Dense Object Detection

[9] Accelerating DETR Convergence via Semantic-Aligned Matching

[10] Point Density-Aware Voxels for LiDAR 3D Object Detection

[11] Spatial Commonsense Graph for Object Localisation in Partial Scenes

[12] Adversarial Texture for Fooling Person Detectors in the Physical World

code: TBD

[13] Rethinking Efficient Lane Detection via Curve Modeling

[14] A Versatile Multi-View Framework for LiDAR-based 3D Object Detection with Guidance from Panoptic Segmentation

code: TBD

[15] Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving

[16] Weakly Supervised Object Localization as Domain Adaption

[17] Focal and Global Knowledge Distillation for Detectors

Original: https://blog.csdn.net/u013685264/article/details/123508226
Author: 一个菜鸟的奋斗
Title: CVPR2022目标检测方向论文

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