ucas-vg/SAPNet

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ucas-vg/SAPNet

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SAPNet: Semantic-aware-SAM-for-Point-Supervised-Instance-Segmentation

PointTinyBenchmark

Point based and tiny object detection and localization code set of UCAS-VG

Anti-UAV

Served as a large-scale multi-modal benchmark, Anti-UAV drives the future research on the frontiers of tracking UAVs in the wild. With the above innovations and contributions, we have organized the CVPR 2020 Workshop on the 1st Anti-UAV Challenge. These contributions together significantly benefit the community.

P2BNet

ECCV2022, Point-to-Box Network for Accurate Object Detection via Single Point Supervision

Effective-Fusion-Factor

Effective Fusion Factor in FPN for Tiny Object Detection(WACV2021)

TOV_mmdetection

Include mmdetection version of TinyBenchmark. Official link.

Sambor

Sambor: Boosting Segment Anything Model Towards Open-Vocabulary Learning

GroupSampling

published in IEEE Transactions on Image Processing (TIP), 2023

ssddet

[ICCV 2023] Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes

P2Seg-Public

Instance-level-Scale-Match

we investigate the scale alignment between pre-training and target datasets, and propose a new refined Scale Match method (termed SM+) for tiny person detection. SM+ improves the scale match from image level to instance level, and effectively promotes the similarity between pre-training dataset and target dataset.

SAM-CP