activity
20192022
most citedUtilizing the Instability in Weakly Supervised Object Detection

17 citations · 36 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023

MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation

Jie Guo, Qimeng Wang, Yan Gao +4

CLIP (Contrastive Language-Image Pretraining) is well-developed for open-vocabulary zero-shot image-level recognition, while its applications in pixel-level tasks are less investig…

cs.CV202215 cited

NFormer: Robust Person Re-identification with Neighbor Transformer

Haochen Wang, Jiayi Shen, Yongtuo Liu +2

Person re-identification aims to retrieve persons in highly varying settings across different cameras and scenarios, in which robust and discriminative representation learning is c…

cs.CV20222 cited

Decoupled IoU Regression for Object Detection

Yan Gao, Qimeng Wang, Xu Tang +4

Non-maximum suppression (NMS) is widely used in object detection pipelines for removing duplicated bounding boxes. The inconsistency between the confidence for NMS and the real loc…

cs.CV2020

1st Place Solutions for OpenImage2019 -- Object Detection and Instance Segmentation

Yu Liu, Guanglu Song, Yuhang Zang +5

This article introduces the solutions of the two champion teams, `MMfruit' for the detection track and `MMfruitSeg' for the segmentation track, in OpenImage Challenge 2019. It is c…

cs.CV201917 cited

Utilizing the Instability in Weakly Supervised Object Detection

Yan Gao, Boxiao Liu, Nan Guo +4

Weakly supervised object detection (WSOD) focuses on training object detector with only image-level annotations, and is challenging due to the gap between the supervision and the o…