442 Open source projects that are alternatives of or similar to CVPR2021_PLOP

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Official PyTorch Implementation of Embedding Transfer with Label Relaxation for Improved Metric Learning, CVPR 2021

[CVPR 2021 Oral] Im2Vec Synthesizing Vector Graphics without Vector Supervision

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Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).

The remote sensing image semantic segmentation repository based on tf.keras includes backbone networks such as resnet, densenet, mobilenet, and segmentation networks such as deeplabv3+, pspnet, panet, and refinenet.

[CVPR 2021] CondenseNet V2: Sparse Feature Reactivation for Deep Networks

[ICLR2022] official implementation of UniFormer

Official Code of "Deep Homography for Efficient Stereo Image Compression"[cvpr21oral]

Implementation of "Efficient Regional Memory Network for Video Object Segmentation". (Xie et al., CVPR 2021)

TensorFlow implementation of LinkNet

Semantic Image Segmentation by Scale-Adaptive Networks (TIP 2019)

A flexible Python front-end inference SDK based on TensorRT

🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

[CVPR2021] Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes

手工实现的智能图片处理系统 包含基础的图片处理功能 各类滤波 seam carving算法 以及结合精细语义分割信息 实现智能去除目标的功能

FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation (CVPR 2021)

FCN, U-Net models implementation in TensorFlow for fashion clothing parsing

Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation

a tensorflow version for SEC approach in the paper "seed, expand and constrain: three principles for weakly-supervised image segmentation".

[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification

Semantic Segmentation Models in Pytorch

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

HyperSeg - Official PyTorch Implementation

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

Implementing polyp segmentation using the U-Net and CVC-612 dataset.

[CVPR 2021] Scan2Cap: Context-aware Dense Captioning in RGB-D Scans

PyTorch reimplementation of the paper "Involution: Inverting the Inherence of Convolution for Visual Recognition" (2D and 3D Involution) [CVPR 2021].

Class Normalization for Continual Zero-Shot Learning

Cell Detection with PyTorch.

Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]

[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation

Automated object remover Inpainter is a project that combines Semantic segmentation and EdgeConnect architectures with minor changes in order to remove specified object/s from list of 20 objects from all the input photos

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr . a tool to do automatically object segmentation from extreme points.

Implementation details for EDANet

Code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

Cut and paste augmentation for object detection and instance segmentation

A framework for developing neural network models for 3D image processing.

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

deeplabv3plus (Google's new algorithm for semantic segmentation) in keras：Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

Toolkit for the generation and analysis of volume eletron microscopy based synaptic connectomes of brain tissue.

[ICLR 2022] Towards Continual Knowledge Learning of Language Models

ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

AttaNet for real-time semantic segmentation.

SOTA Semantic Segmentation Models in PyTorch

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

Corresponding implementations for the IROS 2018 paper "Modular Sensor Fusion for Semantic Segmentation"

Google DeepLab V3 for Image Semantic Segmentation

Code for CVPR 2021 paper Exploring Heterogeneous Clues for Weakly-Supervised Audio-Visual Video Parsing

(RecSys 2020) Adaptively Distilled Exemplar Replay towards Continual Learning for Session-based Recommendation [Best Short Paper]

Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection, CVPR 2021