An open-source assets exchange.

Learning from Temporal Gradient for Semi-supervised Action Recognition (CVPR 2022)

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Code release for ConvNeXt model

Official implementation for paper "Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR"

Categorical Depth Distribution Network for Monocular 3D Object Detection (CVPR 2021 Oral)

PyTorch code for the paper "FIERY: Future Instance Segmentation in Bird's-Eye view from Surround Monocular Cameras"

Code for LIGA-Stereo Detector, ICCV'21

source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer

[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

💭 Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)

We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.

Zero-shot video classification by end-to-end training of 3D convolutional neural networks

cascade-stereo

[CVPR 2021] Self-supervised depth estimation from short sequences

Delving into Localization Errors for Monocular 3D Object Detection, CVPR'2021

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

[CVPR 2021] PyTorch implementation of 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection.

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

Learning Representational Invariances for Data-Efficient Action Recognition

Semi-supervised learning for object detection

[CVPR2020 Oral] SESS: Self-Ensembling Semi-Supervised 3D Object Detection

Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving / YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection

Official implementation of PVT series

Self-supervised Learning of Point Clouds via Orientation Estimation (3DV 2020)

This project is the official implementation of our accepted ICLR 2021 paper BiPointNet: Binary Neural Network for Point Clouds.

PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"