111 Open source projects that are alternatives of or similar to CCL

Model-Contrastive Federated Learning (CVPR 2021)

[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

A PyTorch implementation of the CVPR-2021 paper: Positive Sample Propagation along the Audio-Visual Event Line.

[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

A Fast Knowledge Distillation Framework for Visual Recognition

No description or website provided.

Official implementation for "Image Quality Assessment using Contrastive Learning"

official implemntation for "Contrastive Learning with Stronger Augmentations"

Experiments with supervised contrastive learning methods with different loss functions

YAPO e+ - Yet Another Porn Organizer (extended)

VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

One Shot Face Swapping on Megapixels.

🛠️ Tools for Transformers compression using PyTorch Lightning ⚡

A curated list of resources for Low-level Vision Tasks

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

The codebase for "Group-wise Contrastive Learning for Neural Dialogue Generation" (Cai et al., Findings of EMNLP 2020)

Code and resources on scalable and efficient Graph Neural Networks

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

A curated list of action recognition and related area resources

Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

CVPR 2021 : Zero-shot Adversarial Quantization (ZAQ)

[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning

State of the art object detection in real-time using YOLOV3 algorithm. Augmented with a process that allows easy training of the classifier as a plug & play solution . Provides alert if an item in an alert list is detected.

Code for the RA-L (IROS) 2021 paper "A Hierarchical Dual Model of Environment- and Place-Specific Utility for Visual Place Recognition"

My experimentation around action recognition in videos. Contains Keras implementation for C3D network based on original paper "Learning Spatiotemporal Features with 3D Convolutional Networks", Tran et al. and it includes video processing pipelines coded using mPyPl package. Model is being benchmarked on popular UCF101 dataset and achieves result…

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

Yolov5 distillation training | Yolov5知识蒸馏训练，支持训练自己的数据

[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.

this is roberta wwm base distilled model which was distilled from roberta wwm by roberta wwm large

S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

Code for EMNLP 2021 paper "Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization"

[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

Video Recognition using Mixed Convolutional Tube (MiCT) on PyTorch with a ResNet backbone

[CVPR2021] Look before you leap: learning landmark features for one-stage visual grounding.

Code for the paper "Contrastive Learning Inverts the Data Generating Process".

Adaptive, interpretable wavelets across domains (NeurIPS 2021)

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

3D ResNets for Action Recognition (CVPR 2018)

[CIKM 2021] Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.

AutoVideo: An Automated Video Action Recognition System

List of Publications in Graph Contrastive Learning

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

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

[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation

[CVPR 2021] Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis (official pytorch implementation)

Implementation for "3D human pose, shape and texture from low-resolution images and videos", TPAMI 2021

This is an official implementation for "Video Swin Transformers".

The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021