AlphaO's repositories

AR-Seg

[CVPR 2023] Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos

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AugSeg

[CVPR'23] Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation

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CCT

:page_facing_up: Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR 2020).

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CCVC

[CVPR 2023] Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation

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CorrMatch

Official code for "CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation"

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CPCL

[IEEE TIP] Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation

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CSS

[ICCV'23] Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation

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CVPR2023-Paper-Code-Interpretation

cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理

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deit

Official DeiT repository

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dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

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DOPNet

CVPR'2023:Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation with Cross-Scale Distortion Awareness

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DSSN

Improving semi-supervised semantic segmentation with dual-level Siamese structure network

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Erasing-Attention-Consistency

Official implementation of the ECCV2022 paper: Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition

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fixmatch

A simple method to perform semi-supervised learning with limited data.

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iMAS

[CVPR'23] Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation

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libde265-MV

Modiication of libde265 library to save motion vectors into binary files.

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Mask2Former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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PanoFormer

ECCV'2022 PanoFormer: Panorama Transformer for Indoor 360° Depth Estimation

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RealBasicVSR

Official repository of "Investigating Tradeoffs in Real-World Video Super-Resolution"

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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SegNeXt

Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)

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SETR

[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

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SimpleClick

SimpleClick: Interactive Image Segmentation, Editing, and Generation using Vision Transformers

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TorchSemiSeg

[CVPR 2021] Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

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U2PL

[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

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UniMatch

[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation

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Waifu2x-Extension-GUI

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.

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x265

https://bitbucket.org/multicoreware/x265/ git mirror

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