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dorn

dpq_embedding_compression

Differentiable Product Quantization for End-to-End Embedding Compression.

dvs_clustering_tracking

Simple segmentation based on meanshift for DVS data

e-raft

e2calib

CVPRW 2021: How to calibrate your event camera

edflow

Vivado HLS implementation of EDFLOW IP

edx-learning-from-data

My solutions for the CaltechX Learning From Data course on edX.

endo-depth-and-motion

ev-flownet

Code for the paper "EV-FlowNet: Self-Supervised Optical Flow for Event-based Cameras"

evdodgenet

EVDodgeNet: Deep Dynamic Obstacle Dodging with event cameras

event-based-camera-simultaneous-mosaicing-and-tracking

event-based_vision_resources

event_utils

Collection of event based vision utility functions

evflownet-pytorch

EVFlowNet in pytorch

evisionnet

Using Deep learning Technique for Stereo vision and 3D reconstruction

expansion

Upgrading Optical Flow to 3D Scene Flow through Optical Expansion, CVPR 2020 (Oral).

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

face-detection

Face recognition with OpenCV, Python, and deep learning

face-landmarks-detection-benchmark

Face landmarks(fiducial points) detection benchmark

face.evolve.pytorch

🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥

face3d

Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.

facedetection-dsfd

腾讯优图高精度双分支人脸检测器

facepose_pytorch

🔥The pytorch implement of the head pose estimation(yaw,roll,pitch) and emotion detection with SOTA performance in real time.Easy to deploy, easy to use, and high accuracy.Solve all problems of face detection at one time.(极简，极快，高效是我们的宗旨)

facial-landmark-dataset

A collection of facial landmark datasets and Python code to make use of them.

fadnet

fast-style-transfer

TensorFlow CNN for fast style transfer! ⚡🖥🎨🖼

fastmaskrcnn

Mask RCNN in TensorFlow

fastphotostyle

Style transfer, deep learning, feature transform

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

ffcvsr

AAAI 2019: Frame and Feature-Context Video Super-Resolution