haochen wang

Expert
@haochenheheda

segment-anything-annotator. We developed a python UI based on labelme and segment-anything for pixel-level annotation. It support multiple masks generation by SAM(box/point prompt), efficient polygon modification and category record. We will add more features (such as incorporating CLIP-based methods for category proposal and VOS methods for video datasets

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Training-Code-of-STM. Training code of Spatial Time Memory Network. Semi-supervised video object segmentation.

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LVVIS. Large-Vocabulary Video Instance Segmentation dataset

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SwiftNet. implement of SwiftNet:Real-time Video Object Segmentation

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NFormer. Implementation of NFormer: Robust Person Re-identification with Neighbor Transformer

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pytorch-image-models111. PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

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Poker-Allin-EV-Lab. Python

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haochenheheda.github.io. Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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