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SoM Public
Forked from microsoft/SoMSet-of-Mark Prompting for LMMs
Python MIT License UpdatedOct 24, 2023 -
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X-Decoder Public
Official Implementation of X-Decoder for generalized decoding for pixel, image and language
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detectron2-xyz Public
Forked from facebookresearch/detectron2Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
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Adaptive-anti-Aliasing Public
[BMVC2020 Best Paper Award] Official Implementation for Delving deeper into anti-aliasing in convnets
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TSAM Public
[CVPR2021] Official Implementation for Progressive Temporal Feature Alignment Network for Video Inpainting
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antialiased-cnns Public
Forked from adobe/antialiased-cnnsAntialiasing cnns to improve stability and accuracy. In ICML 2019.
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pytorch-tutorial Public
Forked from yunjey/pytorch-tutorialPyTorch Tutorial for Deep Learning Researchers
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vision Public
Forked from pytorch/visionDatasets, Transforms and Models specific to Computer Vision
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MaskTrackRCNN Public
Forked from youtubevos/MaskTrackRCNNMaskTrackRCNN for video instance segmentation based on mmdetection
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tutorials Public
Forked from pytorch/tutorials -
labelme Public
Forked from labelmeai/labelmeImage Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
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models Public
Forked from tensorflow/modelsModels and examples built with TensorFlow
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maskrcnn-benchmark Public
Forked from facebookresearch/maskrcnn-benchmarkFast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
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flownet2 Public
Forked from lmb-freiburg/flownet2FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
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DeepGuidedFilter Public
Forked from wuhuikai/DeepGuidedFilterOfficial Implementation for Deep Guided Filter, CVPR 2018
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pytorch-CycleGAN-and-pix2pix Public
Forked from junyanz/pytorch-CycleGAN-and-pix2pixImage-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
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improved-gan Public
Forked from openai/improved-gancode for the paper "Improved Techniques for Training GANs"