PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

an experiment for yolo-v1, including training and testing.

High quality, fast, modular reference implementation of SSD in PyTorch

Two-stage CenterNet

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

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

[CVPR 2021] TDN: Temporal Difference Networks for Efficient Action Recognition

Submanifold sparse convolutional networks

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

Differentiable architecture search for convolutional and recurrent networks

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆19 methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training lo…

Neural Architecture Transfer (Arxiv'20), PyTorch Implementation

[CVPR'21 Oral] Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning

This repository is a pytorch implementation of interpretable compositional convolutional neural networks.

How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.

Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"

CVPR 2021 论文和开源项目合集

Code on selecting an action based on multimodal inputs. Here in this case inputs are voice and text.

[CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search

a small build system with a focus on speed

Location-Sensitive Visual Recognition with Cross-IOU Loss

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

The 1st place solution of track2 (Vehicle Re-Identification) in the NVIDIA AI City Challenge at CVPR 2021 Workshop.