MengLcool

AdaViT

[CVPR-22] This is the official implementation of the paper "Adavit: Adaptive vision transformers for efficient image recognition".

Augmentor

Image augmentation library in Python for machine learning.

Chess_AI

Chess AI

DeepStack-VL

[NeurIPS-24] This is the official implementation of the paper "DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs".

detr

End-to-End Object Detection with Transformers

Magic-Pencil

implementation of "Combining Sketch and Tone for Pencil Drawing Production"

NLP-course

Oc-OCR

RichSem

[NeurIPS-23] This is the official implementation of the paper "Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection".

SEGIC

[ECCV-24] This is the official implementation of the paper "SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation".

MengLcool/AdaViT

[CVPR-22] This is the official implementation of the paper "Adavit: Adaptive vision transformers for efficient image recognition".

MengLcool/DeepStack-VL

[NeurIPS-24] This is the official implementation of the paper "DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs".

MengLcool/SEGIC

[ECCV-24] This is the official implementation of the paper "SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation".

MengLcool/Magic-Pencil

implementation of "Combining Sketch and Tone for Pencil Drawing Production"

MengLcool/RichSem

[NeurIPS-23] This is the official implementation of the paper "Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection".

MengLcool/Oc-OCR

MengLcool/NLP-course

MengLcool/Augmentor

Image augmentation library in Python for machine learning.

MengLcool/Chess_AI

Chess AI

MengLcool/detr

End-to-End Object Detection with Transformers

MengLcool/MengLcool.github.io

MengLcool/RefineMask

RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features (CVPR 2021)