466 Open source projects that are alternatives of or similar to ViCC

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

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

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

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

official implemntation for "Contrastive Learning with Stronger Augmentations"

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

Neural Relation Understanding: neural cardinality estimators for tabular data

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

A curated list of awesome graph & self-supervised-learning-based recommendation.

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…

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

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

3D ResNets for Action Recognition (CVPR 2018)

Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

Awesome Graph Self-Supervised Learning

Generalized Deep Metric Learning.

PyTorch implementation of the InfoNCE loss for self-supervised learning.

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.

List of Publications in Graph Contrastive Learning

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

code for CVPR-2019 paper: Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics

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

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

A curated list of action recognition and related area resources

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

A comprehensive list of awesome contrastive self-supervised learning papers.

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

Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)

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

(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.

PyTorch Implementation on Paper [CVPR2021]Distilling Audio-Visual Knowledge by Compositional Contrastive Learning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

Official PyTorch implementation of Contrastive Learning of Musical Representations

Code for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors".

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

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

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

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

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

TKDE 22. CCCL: Contrastive Cascade Graph Learning.

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

No description or website provided.

A PyTorch implementation of VIOLET

[CVPR 2021] Multi-shot Temporal Event Localization: a Benchmark

Code release for "Learning Shape Abstractions by Assembling Volumetric Primitives " (CVPR 2017)

[NeurIPS 2021] Moment-DETR code and QVHighlights dataset

PyTorch implementation of a collections of scalable Video Transformer Benchmarks.

Unsupervised Learning to Market Behavior Forecasting Example

Implementing Clustering Algorithms from scratch in MATLAB and Python

SALT (iccv2017) based Video Denoising Codes, Matlab implementation

Authors official PyTorch implementation of the "DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval" [IJCV 2022]

machine learning algorithms in Swift

The official Codes for NeurIPS 2019 paper. Quanfu Fan, Ricarhd Chen, Hilde Kuehne, Marco Pistoia, David Cox, "More Is Less: Learning Efficient Video Representations by Temporal Aggregation Modules"

Two-stream CNNs for video action recognition implemented in Keras

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

Action recognition with C3D network implemented in tensorflow