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deep-metric-learning-cvpr16

Main repository for Deep Metric Learning via Lifted Structured Feature Embedding

deeperlab-pytorch

Segmentation realize Deeperlab only segmentation part

deeplab2

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

deeplabv3plus-pytorch

Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deepsaldet

Source code for our CVPR 2015 work on saliency detection by multi-context deep learning

deepsim

Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

defgrid-release

Official PyTorch implementation of Deformable Grid (ECCV 2020)

deformable-convolution-v2-pytorch

Deformable ConvNets V2 in PyTorch

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

detr

End-to-End Object Detection with Transformers

detreg

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dpsh_ijcai_2016

The toy experient based on the DPSH paper by LiWuJun from NJU

dtr-prototype

Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616

dynconv

Code for Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR2020)

eccv2020_diva_multifeature_dml

(ECCV 2020) This repo contains code for "DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning" (https://arxiv.org/abs/2004.13458), which extends vanilla DML with auxiliary and self-supervised features.

eopsn

[CVPR 2021] Exemplar-Based Open-Set Panoptic Segmentation Network (EOPSN)

epi

selected c++ code of the EPI interview questions

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

essnet

Embedding-based Scalable Segmentation Network

extremenet

Bottom-up Object Detection by Grouping Extreme and Center Points

falconn

FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)

fastjson

Fast JSON Processor

fcos

FCOS: Fully Convolutional One-Stage Object Detection

few-shot-gan-adaptation

[CVPR '21] Official repository for Few-shot Image Generation via Cross-domain Correspondence

fiftyone

The open-source tool for building high-quality datasets and computer vision models

first-project

gansformer

Generative Adversarial Transformers