Yuqing Wang

Pytorch implementation of three Multiple Instance Learning or Multi-classification papers

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[CVPR2021 Oral] End-to-End Video Instance Segmentation with Transformers

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SOLO: Segmenting Objects by Locations

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Conditional Convolutions for Instance Segmentation, achives 37.1mAP on coco val

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SOLOv2: Dynamic, Faster and Stronger, achives 39.5mAP on coco test-dev (36 epochs result)

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YOLACT: Real-time Instance Segmentation on the FCOS detector (without bbox cropping), achives 35.2mAP on coco val

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[CVPR2025 Highlight] PAR: Parallelized Autoregressive Visual Generation. https://yuqingwang1029.github.io/PAR-project

YuqingWang1029

[ICCV2025] TokenBridge: Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation. https://yuqingwang1029.github.io/TokenBridge

YuqingWang1029