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Pytorch implementation of the paper "Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaption".
This repository contains the official implementation of Semi-supervised Semantic Segmentation with Error Localization Network that has been accepted to 2022 IEEE/CVF Conference on Computer Vision a…
Official code for the NeurIPS 2023 paper "Switching Temporary Teachers for Semi-Supervised Semantic Segmentation"
T3Bench: Benchmarking Current Progress in Text-to-3D Generation
Official repository of "Investigating Tradeoffs in Real-World Video Super-Resolution"
Modiication of libde265 library to save motion vectors into binary files.
https://bitbucket.org/multicoreware/x265/ git mirror
[CVPR 2023] Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos
Official PyTorch Implementation of CP-CNN (TIP'22)
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.
Deep Interactive Thin Object Selection
A playbook for systematically maximizing the performance of deep learning models.
CVPR'2023:Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation with Cross-Scale Distortion Awareness
OpenMMLab Detection Toolbox and Benchmark
Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IF…
ECCV'2022 PanoFormer: Panorama Transformer for Indoor 360° Depth Estimation
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
A technical report on convolution arithmetic in the context of deep learning
README and scripts for the Cityscapes Dataset
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Learning Convolutional Neural Networks with Interactive Visualization.